bluuebunny/crossref_metadata_2025 huggingface dataset:
Implementation of Secret Key Generation on Mobile Crowdsensing Application to Secure Tracking Location of Motorcyclists
Authors: Dewi Ni Made Lintang Asvini , Sudarsono Amang , Yuliana Mike
Published: August 2023

Mobile crowdsensing is a method for collecting many data from sensors on smartphone. In this research, mobile crowdsensing application will be developed to display location of motorcyclits who connected in an Ad-Hoc network along with a security system using the Secret Key Generation (SKG) scheme to generate a secret key that will be used to encrypt and decrypt the data. From the results it can be concluded that the highest measurement correlation is 0.0398 and the lowest is 0.0018 but after randomness extraction proccess, the highest correlation is 0.996 and the lowest is 0.978. After encryption, information of Alice and Bob is stored as random character in database and decrypted as plaintext as shown as in application. In the attacking result, the data after encrypted just shown random character in traffic monitor. When the eavesdroppers manipulate its IP address like Alice's, they can’t connect to Bob.
Integration of Artificial Intelligence in Education: Opportunities, Challenges, Threats and Obstacles. A Literature Review.
Authors: Saputra Indra , Astuti Murni , Sayuti Muhammad , Kusumastuti Dyah
Published: August 2023

The research background is the rapid development of AI which affects various aspects of education. The purpose of this study is to analyze in depth about the opportunities, challenges, threats and obstacles to the implementation of AI in education. The research method used in this study is semy-systematic literature review. The analysis technique used is a meta-narrative approach that includes the process of identifying, analyzing, recognizing patterns and topic-related themes. The results describe that AI opportunities in education are related to the delivery of learning materials, evaluation, management systems, and educational policy making. Meanwhile, the challenges are related to pedagogy, educational frameworks, and literacy. Threats that arise are related to the security of personal data, character building and educational ethics. Finally, obstacles that arise include the high costs required, limited teacher and professional training schemes in preparing AI competencies, and slow changes in curriculum structure and structural level of education.
Refining Web-Based Job Search through Goal-Directed Design Improvement
Authors: Buana I Gusti Agung Ayu Made Bidari Bening , Oetama Raymond
Published: August 2023

This study aims to improve a job search web application that not only addressed usability problems but also surpassed user expectations. A recently released job search web application was found to have usability problems during interviews with the Information Technology division. To measure the usability of the application and provide recommendations for improvement, the study uses the Goal-Directed Design framework, Performance Measurement method, and System Usability Scale measurement method. The evaluation was conducted twice, with the first assessment identifying problems and the second evaluation measuring the effectiveness of the recommendations made. The website prototype was developed and passed all test scenarios with an A+ grade. The modifications make important level of effectiveness, achieving an A+ grade with an 85% effectiveness rate. Furthermore, the website received exceptional user satisfaction, with an A+ rating and a score of 85.5 in usability satisfaction.
The Role of Artificial Intelligence and Machine Learning in Smart and Precision Agriculture
Authors: Bezas Konstantinos , Foteini Filippidou
Published: August 2023

In recent years, the agricultural sector has been undergoing a new "green revolution" characterized by the increasing use of information and communication technology (ICT) and the transition from traditional farming methods to smart agricultural practices, also known as Agriculture 4.0. Robotics, combined with the use of drones, the emerging field of the Internet of Things (IoT), machine learning, and artificial intelligence, are now being deployed in digital transformation services in agriculture, aiming to optimize crop performance and agricultural sustainability. According to research and international literature, the new trends are now oriented towards the development of global and state-of-the-art connected agricultural systems through digital management platforms, with the goal of facilitating the flow of data and information. Although many efforts are being made to implement smart agriculture, there are still challenges that require further research.
Analisis Sentimen Ulasan Google Maps Kuliner di Bojonegoro Menggunakan Metode Naïve Bayes
Authors: Fauziyah Dewi Nur , Sanjaya Ucta Pradema , Anggraini Fetrika
Published: August 2023

Sentiment analisis merupakan proses menganalisa yang berhubungan dengan sebuah konten atau produk. Analisa terserbut berdasarkan hal hal yang di rasakan oleh seseorang secara subyektif dalam merasakannya. Pada umumnya sentiment analisis ini di tulis oleh penguna dunia maya yang digunakan untuk informasi berdasarkan ulasan atau postingan. Text mining dan Natural language Processing sebuah bidang yang mempunyai irisan yang sama dalam bidang kecerdasan buatan. Ini sangat membantu seseorang dalam mencari nilai sebuah ulasan yang ditulis oleh seseorang memiliki nilai positif atau negative bahkan bisa di nilai netral. Dalam penelitian ini meneliti ulasan usaha kuliner di bojonegoro berdasaran data yang ada di google maps. Untuk metode klasifikasi mengunakan naïve bayes yang pada dasarnya mengunakan penilaian peluang pada setiap atributnya dan di evaluasi dengan confusion matrix. Hasil yang didapatkan dari penelitian ini mendapatkan nilai akurasi 90,28% recall 90,28% dan presisi 89.89%
Development of a Local Area Network with Netsupport in Learning in a Computer Laboratory
Authors: Putra La Ode Alwin Syahputra , Effendi Hansi , Hendriyani Yeka , Ambiyar
Published: August 2023

Technological developments are increasingly advanced so as to increase the use of computer laboratories in higher education, especially in the learning process. However, this is not matched by the completeness of adequate infrastructure, which causes problems when using the laboratory. This study aims to develop and update a local area network with net support for learning in computer labs 5 and 6. This research uses the network development life cycle (NDLC) method. Data collected by questionnaire technique. The results of this study indicate that the validator test assessment from the innovation aspect of the IT infrastructure component is 89.17% so that the level of validity can be interpreted as valid in use, from the information system aspect it is 93.55%, so it can be interpreted as valid in use, practicality (group A) practicality test of 92.60%, so that it can be interpreted as practical to use, practicality (group B) practicality test is 94%, so the level of practicality can be interpreted as practical to use, practicality (Lecturer) practicality test is 95.23%, so that the practicality level can be interpreted as practical used, the effectiveness (group A) of the effectiveness test was 94.55%, so that the level of effectiveness could be interpreted as effectively used, the effectiveness (group B) of the effectiveness test was 93.70%, so the level of effectiveness could be interpreted as effectively used, effectiveness (labor assistant ) effectiveness test of 93.58%, so that the level of effectiveness can be interpreted as effectively used. So that it can be concluded that the development of a local area network network with netsupport in computer laboratory learning is feasible to use.
Metode SVM dan Naive Bayes untuk Analisis Sentimen ChatGPT di Twitter
Authors: Atmajaya Dedy , Febrianti Annisa , Darwis Herdianti
Published: August 2023

Pertumbuhan pesat platform media sosial telah memberikan jalur baru bagi individu untuk mengungkapkan pendapat dan sentimen mereka. Analisis sentimen dari konten yang dibuat oleh pengguna di platform seperti Twitter menjadi semakin penting dalam memahami opini publik dan tren sosial. Penelitian ini bertujuan untuk membandingkan kinerja dua algoritma machine learning, Support Vector Machine (SVM) dan Naive Bayes, dalam menganalisis sentimen pengguna Twitter mengenai ChatGPT, sebuah model bahasa canggih. Sentimen akan diberi label menggunakan dua alat analisis sentimen yang terkenal, Vader dan Roberta. Penelitian ini menggunakan data Twitter sebanyak 1000 dataset yang terkait dengan ChatGPT dan mengevaluasi akurasi, presisi, dan recall dari model SVM dan Naive Bayes. Hasil penelitian ini menunjukkan perbedaan yang jelas dalam kinerja model: SVM yang digabungkan dengan Vader mencapai tingkat akurasi, presisi, dan recall sebesar 59%, dengan F1-score sebesar 55%. Secara signifikan lebih unggul dibandingkan dengan model sebaliknya, dimana SVM dengan label RoBERTa menghasilkan akurasi sebesar 55%, presisi sebesar 58%, recall sebesar 55%, dan F1-score sebesar 52%. Naive Bayes menunjukkan kinerja yang relatif lebih rendah. Dengan menggunakan Vader, Naïve Bayes mencapai tingkat akurasi dan recall sebesar 47%, presisi sebesar 46%, dan F1-score yang lebih rendah sebesar 32%. Sedangkan, menggunakan RoBERTa dengan Naive Bayes menunjukkan penurunan akurasi menjadi 43%, recall sebesar 43%, presisi sebesar 18%, dan F1-score sebesar 26%. Pengendalian SVM dinilai memiliki kinerja yang lebih unggul dalam mengolah analisis sentimen pengguna Twitter mengenai opini tentang ChatGPT.
Klasifikasi Daun Herbal Menggunakan Metode CNN dan Naïve Bayes dengan Fitur GLCM
Authors: Adela Regita Azzahra  , Purnawansyah  , Darwis Herdianti , Widyawati Dewi
Published: August 2023

Tanaman herbal menunjukkan variasi berbagai ukuran dan bentuk yang berbeda untuk setiap jenis. Penelitian ini bertujuan untuk mengklasifikasikan citra daun dari daun katuk (Sauropus Androgynus) dan daun kelor (Moringa).  Dalam penelitian ini digunakan Gray Level Co-Occurrence Matrix (GLCM) untuk mengektraksi fitur contrast, correlation, homogeneity, dissimilarity, dan Angular Second Moment (ASM). Adapun pada klasifikasi diterapkan metode Convolutional Neural Network (CNN) dan Naïve Bayes dengan kernel Gaussian, multinomial, dan Bernoulli. Jumlah citra yang digunakan dalam riset ini adalah 480 citra, dengan perincian 80% untuk data training dan 20% sebagai data testing. Berdasarkan hasil pengujian dan perbandingan yang telah dilakukan didapatkan kesimpulan bahwa penerapan metode CNN tanpa ekstraksi fitur terbukti lebih efisien dalam proses klasifikasi citra daun herbal, dengan nilai precision, recall, f1-score dan accuracy mencapai 98% pada situasi cahaya terang.
MYC protein is a high-risk factor in mantle cell lymphoma and identifies cases beyond morphology, proliferation and TP53/p53 – a Nordic Lymphoma Group study
Authors: Rodrigues Joana M. , Hollander Peter , Schmidt Lina , Gkika Eirinaios , Razmara Masoud , Kumar Darshan , Geisler Christian , Grønbæk Kirsten , Eskelund Christian W. , Räty Riikka , Kolstad Arne , Sundström Christer , Glimelius Ingrid , Porwit Anna , Jerkeman Mats , Ek Sara
Published: August 2023

The transcription factor MYC is a well-described oncogene with an important role in lymphomagenesis, but its significance for clinical outcome in mantle cell lymphoma (MCL) remains to be determined. Here, we perform an investigation of the protein expression of MYC in a cohort of 251 MCL patients complemented with analyses of structural aberrations and mRNA, in a sub-cohort of patients. 14% (n=35) of patients showed high MYC protein expression with >20% positive cells (MYChigh), among which only one translocation was identified and 86% (n=216) of patients showed low MYC protein expression. Low copy number gains of MYC were detected in 10 patients, but with no correlation to MYC protein levels. However, MYC mRNA levels correlated significantly to MYC protein levels with a R2 value of 0.76. Patients with a MYChigh tumor had both an independent inferior overall survival (OS) and progression-free survival (PFS) (Hazard ratio (HR)=2.03, 95% Confidence interval (CI) 1.2–3.4 and HR=2.2, 95%CI 1.04–4.6, respectively) when adjusted for additional high-risk features. Patients with MYChigh tumors also tended to have additional high-risk features and to be older at diagnosis. A subgroup of 13 patients had concomitant MYChigh expression and TP53/p53 alterations and had a substantially increased risk of progression (HR=16.9, 95%CI 7.4–38.3) and death (HR=7.8, 95%CI 4.4–14.1) with an average OS of only 0.9 years. In summary, we show that a subset of diagnostic MCL patients (14%) overexpress MYC protein, and has a poor prognosis but that MYC rearrangements are rare. Tumors with concurrent MYC overexpression and TP53/p53 alterations pinpoint MCL patients with a dismal prognosis below three years of median OS. We propose that MYC needs to be assessed beyond the current high-risk factors in MCL to identify cases in need of alternative treatment.
Egy városi műtárgy emlékezete
Authors: Szabó Levente
Published: August 2023

E különleges, városi léptékben és a belsőépítészet műfaji regiszterein egyszerre érvényes projekttel 2021-ben, a Piranesi Award zsűritagjaként találkoztam először a pirani egykori sólepárló csarnokban rendezett kiállításon, megannyi, abban az évben nevezett régiós munka társaságában. Ez év tavaszán aztán alkalmam volt bejárni is a Petr Janda és munkatársai által csaknem tízéves megvalósítási folyamat után átadott Moldva-parti, Mies van der Rohe Award-ra is jelölt revitalizációs munka egyes stációit. Írásomban ennek a 2019-re első ütemét tekintve elkészült projektnek a kontextusba helyezésére teszek kísérletet. Azt állítom, hogy műfaji komplexitásában figyelemreméltó, ahogy a Rossi-i értelemben vett városi műtárgyként is definiálható – alapvetően infrastrukturális, mégis a kollektív emlékezet gazdag tárházát megtestesítő – épített partfal változatlan karakterét kiegészíti az – elsősorban a megújuló használat újradefiniált rítusaiból fakadó – egyszerre landmark, mégis alárendelt karakterű, hálózatossá összeérő pontszerű beavatkozások sora.
Pars pro toto
Authors: Zombor Gábor
Published: August 2023

Lehetne sok mindenről írni. A ház nyilvánvaló jelenlétéről Budakeszin, a költői illeszkedésről, professzionális léptéktartó formálásról, minden részletében átgondolt és hiteles közelségéről, a terek meghittségéről. Mégis, amit leginkább szeretnék megfogalmazni, az az, ami a legnehezebb. Mert nincs közelsége, nem kézzelfogható, nem jelenlévő. Csak érezhető. Valóban, valóságosan és lényegileg.
Performance of broiler using rice husk and sawdust as litter materials during summer
Authors: Baishnab Jhulan Rani , Mahbub ASM , Miah Mohammad Yousuf
Published: August 2023

An experiment was carried out with 80 straight run broiler chicks (cobb-500) reared on rice husk and sawdust to know the production efficiency at 5 weeks during summer.  A total 80 straight run broiler chicks (cobb-500) were divided into 4 groups and were assigned to 2 treatments i.e. T1 and T2 in which T1 was used rice husk and T2 was used sawdust. Number of birds per replication were 10. Live weight of birds reared on rice husk and sawdust differed significantly at 5th weeks of age (P<0.05). Feed consumption of broiler was significantly higher on sawdust litter than rice husk. Feed conversion ratio and survivability percentages of broiler were statistically non-significant (P>0.05) between the sawdust and rice husk. The cost of litter per bird and cost of litter per kg live weight gain were 14.07% and 20.10% higher in rice husk than sawdust respectively. It is evident from the study that sawdust was more economic than rice husk. Considering all the facts and findings of the study, it can be conducted that live weight and feed consumption of broiler was better in sawdust litter materials than rice husk. Sawdust was also cheaper than rice husk. Therefore, using sawdust as a litter material can lead to better production efficiency and cost savings for broiler farmers during summer.
Asian Australas. J. Biosci. Biotechnol. 2023, 8 (2), 17-22
Exogenous Sodium Chloride Explores the Mechanisms For Hyperosmotic Stress Acclimation in Liverwort Marchantia Polymorpha
Authors: Tompa NH , Uddin M Mohi , Biswas MS , Ghosh TK
Published: August 2023

In contrast to angiosperms, the mechanisms of hyperosmotic stress responses in liverworts, the evolutionarily important land plants remain more or less elusive. The present investigation was set with liverwort, Marchantia polymorpha to find out the approaches essential for hyperosmotic stress acclimation in distant land plants. The gemmae of M. polymorpha cultured in ½ B5 medium were subjected to control (0 mM NaCl) and osmotic stressed conditions led by 50 mM and 100 mM NaCl to find their morphological, biological and physiological responses. Compared to non-stress control, the thallus body of M. polymorpha showed strong growth inhibition while acclimating to hyperosmotic stress led by 100 mM NaCl. The significant reduction of chlorophyll content and tissue damage were recorded by hyperosmotic stress led by 100 mM NaCl compared to control. The negligible tissue damage and more or less similar chlorophyll content were recorded in control and by 50 mM NaCl. Further, the gemmalings showed enhanced accumulation of osmolytes proline and soluble sugar by 100 mM NaCl compared to the control which was consistent with the increased accumulation of soluble sugar by hyperosmotic stress led by 0.2 M sucrose. Hyperosmotic stress led by 100 mM NaCl showed a higher rate of electrolyte leakage in the gemmalings which was consistent with the higher amount of lipid peroxidation; malondialdehyde and hydrogen peroxide in the gemmalings treated with 100 mM NaCl compared to the control. However, the activity of enzymatic antioxidants such as superoxide dismutase; catalase; ascorbate peroxidase; dehydroascorbate reductase and glutathione S-transferase were greatly induced by 100 mM NaCl as compared to control. Therefore, the findings suggest that the basal land plants liverworts followed morpho-physiological alterations during acclimation to hyperosmotic stress which were crucial for the terrestrialization of land plants.
Ann. Bangladesh Agric. (2022) 26 (2) : 1-18
Screening of Country Bean (Lablab Purpureus L.) Genotypes for Salinity Tolerance
Authors: Rasul MG , Islam AKM Aminul , Mannan MA
Published: August 2023

Thirty-five country bean (Lablab purpureus L.) genotypes collected from coastal belts of Bangladesh were screened for tolerance to a high level of salinity (12 ds m-1 NaCl) in Hogland nutrient solution in a hydroponic system at vegetative growth stage. The experiment was conducted in a complete randomized design with three replications at Genetics and Plant Breeding lab, BSMRAU during January-February, 2016. The genotypes were varied in biochemical properties (proline, carbohydrates, chlorophyll contents etc.), dry root: shoot ratio, relative shoot dry weight and salt susceptibility index (SSI). Wide variation among the genotypes was noticed for root and shoot ratio (p<0.05). Relative shoot length varied from 29.87- 126.04 with an average of 79.29 whereas relative root length showed wide variation with a range of 20.00-300.00. Relative root dry weight (RRDW) varied from 22.06-211.43 with a mean of 79.40 and relative shoot dry weight (RSDW) ranged from 26.57-192.66 with an average of 69.29. Relative root : shoot ratio showed a range of 0.59 to 2.51. On the basis of relative performance of root-shoot dry matter, dry leaves weight, root-shoot ratio, six genotypes were found highly tolerant, seven were moderately tolerant, sixteen were moderately susceptible and six were highly susceptible to salinity stress. Based on visual observation of plants, relative shoot dry weight (RSDW), proline content, total sugar and soil plant analysis development (SPAD) value the genotypes CB031, CB035, CB003, CB023, CB026, CB028, CB013, CB030, CB014, CB024, CB019, CB020 and CB002 were selected as tolerant for further evaluation and use in breeding work.
Ann. Bangladesh Agric. (2022) 26 (2) : 19-31
Morphology and Floral Biology of Twelve Water Lily Genotypes
Authors: Hoque MA , Miah MG , Hasan MFA
Published: August 2023

An experiment was conducted at the east nursery of Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur from July 2020 to June 2021 with a view to characterizing twelve water lily (Nymphaea nouchali) germplasm for cultivation in Bangladesh. The experiment was set up in a Randomized Complete Block Design with three replications. Rhizomes of each germplasm were planted in earthen tub of around 95 cm upper diameter and 40 cm depth was half filled with heavy clay soils. Characterization of the germplasm was then started at vegetative stage after 30 days of planting on the basis of flower color and thirty other traits. Results indicated that the number of leaves/plant at different days after planting varied significantly and counted the highest in NN 002 (26.0 at 30 DAP, 32.0 at 60 DAP and 29.7 at 90 DAP) and the lowest in NN 012 at 30 DAP (3.0) and 60 DAP (12.7); while at 90 DAP, the lowest was recorded in NN 010 (7.3). Leaf length varied from 8.2 cm (NN 007) to 31.4 cm (NN 008); while, leaf width varied from 7.5 cm (NN 007) to 28.6 cm (NN 002). The shortest time (36 days) to flowering was found in NN 008, conversely NN 011 took the maximum number of days (46) to flowering. Flower diameter ranged from 7.1 to 16.7 cm with the minimum in NN 007 and the maximum in NN 002. In NN 001, flowers were opened at night and closed in the morning; while in others, flower were opened in the early morning and closed either in the afternoon or in the evening. The duration of flowering in the genotypes ranged from 3-4 days. The genotypes NN 007 produced the maximum suckers per plant (13.3); and NN 003, NN 005, NN 008 and NN 009 did not produce any sucker. Flowers with shorter stalk from the base (< 30 cm) in NN 006, NN 007, NN 010, NN 011 and NN 012 can be used for producing flowers in small tub or urn. The genotypes NN 001, NN 002, NN 003, NN 004, NN 007, NN 008, NN 009 and NN 001 produced abundant pollen and they can be used in breeding program for developing more variation through crossing. All the genotypes should be maintained for further evaluation and next year use.
Ann. Bangladesh Agric. (2022) 26 (2) : 97-111
Association of Uric Acid and Atherogenic Index Of Plasma in Diabetes Mellitus
Authors: Ahmed R , Khanduker S , Khondker F , Biswas S , Sultana S , Kabir F , Islam SS , Jamaluddin MM
Published: August 2023

Diabetes mellitus (DM) is a chronic disease characterized by insulin deficiency or peripheral resistance resulting in hyperglycemia. Diabetic patients have increased rates of coronary heart disease, cerebrovascular disease and peripheral vascular disease, and are two to three times more likely to develop cardiovascular disease (CVD). Serum uric acid (SUA) has been known to be associated with cardiovascular diseases. "Atherogenic index of plasma" (AIP) is considered to be a very sensitive predictor of future cardiovascular events. The study was done to evaluate the association of serum uric acid and atherogenic index of plasma in diabetic patients. A total of 315 diabetic patients were selected as study subjects based on predefined enrollment criteria. The patients were separated into groups according to their serum uric acid levels. Serum uric acid levels under 6 mg/dL were considered as normal. AIP was calculated as the logarithmically transformed ratio of triglyceride to high density lipoprotein cholesterol. The study found that AIP levels were significantly high in high SUA group compared to normal SUA group. The study showed a positive significant correlation between AIP and SUA (r=0.347, P<0.001) in diabetes patients. Additionally, in binary logistic regression analysis, AIP was found to be independently associated with high UA levels. Present study reveals that SUA and AIP are closely related.

Bangladesh J Med Biochem 2018; 11(2): 6-10
Characterization of Mutation of BRCA1 Gene at Chromosome 17q21 in Bangladeshi Women With Familial Breast Cancer
Authors: Siddiqua A , Martuza N , Tasnim J , Rahman M , Akhi Ij , Shahanaj A , Rahman MH , Sultana N , Shoha TJ
Published: August 2023

Breast cancer is the most common cancer among women in Bangladesh. About 69% cancer death of women is due to breast cancer. In Bangladesh the incidence rate of breast cancer is about 22.5 per 100000 female. Female who carries mutation in the BRCA1 gene have an 80% chance of developing breast cancer during their lifetime. Due to its high prevalence, genetic testing for BRCA1 mutation has become an integral part of clinical practice. This study was aimed to characterize the mutation at chromosome 17q21 by targeting BRCA1 gene among Bangladeshi women with familial breast cancer. This descriptive case series study was conducted in the Department of Biochemistry, Dhaka Medical College, Dhaka, from July 2017 to June 2018. In this study, thirty diagnosed breast cancer patients with family history breast cancer were selected according to the selection criteria from the Department of Surgery and Department of Radiotherapy, Dhaka Medical College, Dhaka. Mutations were detected by Next Generation Sequencing method. Characterization and clinical significance were verified from NCBI genome database. The study parameters were presence of mutation, types of mutation, clinical significance, frequency (%) of mutation. In this study, sixteen distinct mutations were found. Three pathogenic mutations (10%) were found among the patients which were nonsense mutations. Pathogenic mutations were c.5251C>T, c.2158G>T and c.1059G>A. Three mutations of uncertain significance with missense variant, five benign mutations of missense variant and five benign mutations of silent variant were also found among thirty patients. In this study we found that, Bangladeshi women with familial breast cancer had 10% pathogenic mutations. Early screening for BRCA1 gene mutations might provide better information for health to those who have family history of breast cancer.

Bangladesh J Med Biochem 2018; 11(2): 17-23
Pengembangan Pelatihan Link and Match Konsentrasi Keahlian Rekayasa Perangkat Lunak Pada Smk Tritech Informatika Medan
Authors: Leman Dedi , Cindy Paramitha Lubis  , Frans Ikorasaki
Published: August 2023

SMK Tritech Informatika adalah salah satu SMK yang harus menjalin kerja sama dengan DU/DI, terutama pada jurusan Rekayasa perangkat lunak, Banyak guru – guru mengajar tidak melihat perkembangan pada industri sehingga saat melakukan Praktek kerja lapangan siswa – siswi banyak yang kurang paham apa yang di pelajari di industri, maka dari itu perlu di lakukan link and match antara industri dan sekolah agar kurikulum yang diajarkan disekolah dengan pihak industri itu satu tujuan dan Hubungan kerjasama ini harus dipandang oleh SMK dan DU/DI sebagai sesuatu yang menguntungkan bagi kedua belah pihak. Tujuan dari link and match yaitu kesesuaian antara program yang ada di SMK dengan apa yang dibutuhkan oleh DU/DI atau yang lebih dikenal dengan link and match. sehingga lulusan SMK sebagai calon tenaga kerja yang terampil dan terlatih dapat diterima dan diserap oleh DU/DI, Kerjasama antara SMK dan DU/DI dapat direalisasikan dalam beberapa bentuk kegiatan/program.
BIODIVERSITAS DAN ADAPTASI MAKROZOOBENTOS DI PERAIRAN MANGROVE
Authors: Sabar Mesrawaty
Published: August 2023

Desa Madello Kecamatan Balusu Kabupaten Barru memiliki kawasan hutan mangrove yang cukup luas, baik yang ada di pesisir pantai Palle, maupun di pulau Pannikiang. Kawasan hutan mangrove tersebut memiliki potensi biota seperti beragam, ikan, udang, kepiting, makrozoobentos, serangga, burung, dan reptil. Makrozoobentos di hutan mangrove tersebut memiliki peran ekologisÂ  sebagai Â sumber energi Â pada Â rantai Â makanan lingkungan aquatik. Biodiversitas makrozoobentos diÂ  kawasan tersebut sangat tergantung pada kemapuan adaptasi spesias dan kondisi lingkungan seperti kualitas perairan, unsur hara, substrat dan predator. Hasil penelitian menunjukkan bahwa (1) biodiverstas makrozobentos tertinggi pada stasiun IV di pulau Pannikiang. Hal ini dapat dilihat nilai keanekaragaman yang lebih tinggi dan nilai dominansi lebih rendah dibandingkan dengan stasiun pengamatan I, II, dan III, (2) Species utama hutan bakau antara lain Terebralia palustris, Terebralia sulcata, Telescopium telescopium, Saccostrea cucullata dan Saccostrea echinata dan species laut dangkal Â seperti Â Pagurus Â bernhardus.Â  mempunyai Â kelimpahan Â jenis Â yang tinggi di semua stasiun, ini disebabkan karena spesies-spesies tersebut secara alami memiliki kemampuan beradaptasi pada lingkungan mangrove, dan (3) Pagurus bernhardus lebih dominan pada statiun II karena spesies ini memiliki kemampuan bertahan dari tekanan arus dan bertahan di atas sedimen yang cenderung bergerak karena memiliki ruas kaki yang panjang dan kuat.
Identifikasi Cendawan Patogen pada Tanaman Tomat (Solanum lycopersicum L)
Authors: Ata Halni , Papuangan Nurmaya , Bahtiar Bahtiar
Published: August 2023

Tanaman Â Tomat Â (Solanum Â lycopersicum Â L) Â merupakan Â salah Â satu Â tanaman hortikultura Â yang Â penting Â di Â Indonesia. Â Namun, Â budidaya Â tanaman Â tomat Â banyak mengalami masalah yang dapat menyebabkan produksi tanaman tomat menjadi rendah baik secara kuantitas maupun kualitas. Salah satu masalah tersebut adalah penyakit yang disebabkan oleh mikrob patogen yaitu cendawan patogen. Penyakit yang disebabkan oleh cendawan patogen yang menyerang tanaman tomat yaitu busuk daun, Penyakit busuk buah, batang dan layu Fusarium.Tujuan dalam penelitian ini adalah mengidentifikasi jenis-jenis cendawan patogen yang terisolasi pada tanaman tomat (Solanum lycopersicum L) Â melalui Â identifikasi Â makroskopik dan mikroskopik. Â Penelitian Â bersifat Â deskripsi, metode yang digunakan adalah metode tanam langsung ke media. Analisis data dilakukan dengan Â mengidentifikasi jenis cendawan Â patogen Â berdasarkan Â karakteristik Â morfologi makroskopik dan mikroskopik yang mengacu pada buku Introduction to Food-Borne Fungi.Â  Hasil isolasi diperoleh sembilan jenis cendawan yaitu Peronospora paraciticaÂ (IBt1),Â CercosporaÂ sp (IBt2),Â F. verticillioides Â (IBt3), F.Â  cerealis Â (ID1), AlternariaÂ  sp (ID2),Â Cladosporium sp (ID3), F. oxysporum (IBh1), Phytopthora cactorum (IBh2), dan Fusarium sp (IBh3). Kesembilan cendawan tersebut merupakan patogen pada batang (Peronospora paracitica, Cescospora sp, F. verticillioides), daun (F. cerealis, AlternariaÂ sp,Â Cladosporium sp), dan buah (F. oxysporum, Phytopthora cactorum, dan Fusarium sp).
Pengaruh Model Pembelajaran Talking Stick Terintegrasi Saintifik Berbantuan Media Charta Terhadap Hasil Belajar Kognitif Peserta Didik Kelas VIII SMP Negeri 16 Halmahera Selatan
Authors: Aloahyt Zakir , Taher Dharmawaty M. , Mas'ud Abdu
Published: August 2023

The scientifically integrated talking stick learning model assisted by charta media is a learning stage following the steps of the talking stick learning model with charta-assisted media to improve the ability of students' cognitive learning outcomes. This study aims to determine the effect of the scientifically integrated talking stick learning model assisted by chart media on students' cognitive learning outcomes. This research is a quasi-experimental research (Quasy Experiment). The sample of this study consisted of two classes, namely class VIII-1 as the experimental class and VIII-2 as the control class with a total of 35 students. The instrument used is a test to measure cognitive learning outcomes. Data analysis used the SPSS-assisted normality and homogeneity test, while the hypothesis test used the Anacova test. The results showed that the talking stick learning model with chart media had an effect on learning outcomes with a significant level of 0.05 0.001.
PENGEMBANGAN PERANGKAT PEMBELAJARAN MODEL LEARNING CYCLE 5E PADA MATERI KEANEKARAGAMAN HAYATI UNTUK SISWA SMA NEGERI 5 KOTA TERNATE
Authors: Larahidu Jalmia , Bahtiar Bahtiar , Mas'ud Abdu , Salewangeng Aswal , Rasyid Magfirah , Tala WD Syarni
Published: August 2023

Perangkat pembelajaran yang dikembangkan diharapkan dapat menjadi model atau contoh bagi guru dan dapat memberikan rangsangan bagi kreativitas guru untuk mengembangkan perangkat pembelajaran lain yang dapat digunakan dalam proses pembelajaran. Pencapaian prestasi belajar yang tinggi memerlukan perangkat yang menunjang keterlaksanaan proses pembelajaran. Perangkat pembelajaran yang dikembangkan dalam penelitian ini meliputi:Â Silabus, Rencana Pelaksanaan Pembelajaran (RPP), dan Lembar Kerja Siswa (LKS). Penelitian ini bertujuan (1). Menghasilkan perangkat pembelajaran yang layak digunakan sebagai acuan mengajar bagi guru untuk mencapai suatu pembelajaran yang valid; (2). Mengetahui kualitas perangkat pembelajaran yang dihasilkan. Penelitian ini dilaksanakan di SMA Negeri 5 Kota Ternate dan dibatasi pada materi keanekaragaman hayatiÂ serta dilaksanakan pada November tahun ajaran 2020/2021. Hasil penelitian menunjukkan bahwa perangkat pembelajaran yang dikembangkan dengan Model Learning CycleÂ  5e Pada Materi Keanekaragaman Hayati Untuk Siswa SMA Negeri 5 Kota Ternate dengan nilai validasi untuk Silabus rata-rata 4,31 dengan kategori sangat valid, hasil validasi RPP dengan rata-rata 1,14 kategori kurang valid, dan hasil validasi Lembar Kerja Siswa (LKS) dengan rata-rata 22,1 kategori cukup valid. Berdasarkan hasil penelitian, dapat disimpulkan bahwa perangkat pembelajaran ini layak digunakan dalam proses belajar-mengajar.
PENGARUH PENGGUNAAN MODEL PROJECT BASED LEARNING (PjBL) BERPENDEKATAN STEAM TERHADAP PENINGKATAN HASIL BELAJAR KOGNITIF SISWA PADA KELAS 7 SMP DIAN TODAHE HALMAHERA BARAT
Authors: Saban Milsan , Tolangara Abdulrasyid , Hasan Said
Published: August 2023

Setiap siswa akan memiliki pengetahuan, keterampilan dan sikap yang sesuai dengan standart pendidikan nasional. Hal ini dapat terjadi apabila seorang guru memiliki kemampuan dalam mendesain dan memodifikasi suatu model pembelajaran yang baik, sehingga berdampak pada keberhasilan peningkatan mutu dan peningkatan kualitas sumber daya manusia (SDM) melalui proses pendidikan yang telah dilakukannya. Tujuan penelitian ini Untuk mengetahui pengaruh penggunaan model Project Based Learning (PjBL) dengan pendekatan STEAM terhadap peningkatan hasil belajar kognitif siswa kelas VII SMPS Dian Todahe. Desain penelitian ini adalah quasi experiment. Hasil penelitian yang telah dilakukan pada SMP Dian Todahe dan SMPN 9 Halmahera Barat menunjukkan bahwa terdapat pengaruh positif dari penerapan atau penggunaan model pembelajaran Project Based Learning (PjBL) berpendekatan STEAM yaitu dengan adanya peningkatan rata-rata hasil belajar kognitif, artinya dengan penggunaan model pembelajaran PjBL berpendekatan STEAM terjadi peningkatan pemahaman pengetahuan siswa yang signifikan. Jika dibandingkan dengan pembelajaran yang hanya menggunakan model Project Based Learning (PjBL) tanpa pendekatan STEAM. Kondisi terlihat dari data hasil belajar kognitif yang rata-rata nilai hasil belajar pretest pada kelas eksperimen adalah 43.85, Sedangkan pada kelas kontrol rata-rata nilai prestest adalah 43.67. Setelah tindakan penelitian dilaksanakan yakni dengan pembelajaran model Project Based Learning (PjBL) berpendekatan STEAM rata-rata nilai postest mengalami peningkatan yang signifikan dari rata-rata nilai pretest yaitu pada kelas eksperimen hasil belajar adalah 80,38. Dan pada kelas kontrol juga mengalami peningkatan nilai postest yaitu hasil belajar menjadi 73,67. Data hasil belajar kognitif yang diperoleh pada pembelajaran dengan menggunakan model PjBL berpendekatan STEAM lebih tinggi dibandingkan dengan hasil kognitif siswa yang proses pembelajaran yang hanya menggunakan model PjBL murni.
COBIT 2019 INFORMATION SECURITY FOCUS AREA IMPLEMENTATION FOR REINSURCO DIGITAL TRANSFORMATION
Authors: Viamianni Ananda , Mulyana Rahmat , Dewi Fitriyana
Published: August 2023

As information technology (IT) advancement evolves in Indonesia's insurance sector, organizations like ReinsurCo must accelerate their digital transformation (DT) to remain competitively viable. Although DT paves the way for new business models and operational improvements, the implementation often fails due to poor IT governance. Under the supervision of the State-Owned Enterprises Agency (SOE) and the Financial Services Authority (FSA), ReinsurCo must comply with regulations stating that SOEs must independently assess IT maturity to ensure information security. This research utilizes the five stages of Design Science Research (DSR): problem explication, requirement specification, design and development, demonstration, and evaluation. Data was collected through semi-structured interviews and both internal and external document triangulation. The data were then analyzed using the COBIT 2019 Information Security framework, implementing design factors prioritizing information technology governance and management (ITGM) objectives: APO13 Managed Security, DSS05 Managed Security Services, and BAI06 Managed IT Changes. Further analysis and identification were conducted to discover gaps against the seven component capabilities. These identified gaps were mapped into people, process, and technology aspects, which led to the creation of essential improvement recommendations. These recommendations were compiled into an implementation roadmap that can serve as a priority guide for ReinsurCo. This research is expected to provide a knowledge base for prioritizing information security management in supporting DT by implementing the COBIT 2019 Information Security framework. In a practical context, it aids ReinsurCo in controlling its strategic plans to face information security challenges. Furthermore, this study also offers extensive benefits to the insurance industry.
Exploring the Effectiveness of Deep Learning in Analyzing Review Sentiment
Authors: Totox Mariyanto , Pardede Hilman F
Published: August 2023

This study aimed to analyze sentiment in office product reviews by using word embedding with three neural network modeling approaches: Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM), and Gated Recurrent Units (GRU). Office product review data is taken from Amazon's reviews of office products covering a wide range of sentiments. Word embedding converts text into a numerical vector representation for neural network processing. Experimental comparison of this model reveals that CNN achieves the highest accuracy, 77.99%. The CNN model effectively extracts significant features from review text, improving sentiment classification performance. Although the LSTM and GRU models show satisfactory results, they do not match CNN performance. These findings demonstrate the effectiveness of word embedding and neural networks for sentiment analysis in office product reviews. This provides valuable insights for companies to improve their products based on user feedback from online reviews. Additionally, this research serves as a foundation for further advances in sentiment analysis across a wide range of other products and services
Study of the Bioconversion Process of Black Soldier Fly (Hermetia Illucens) Larvae in Decomposition of Various Variations of Organic Waste
Authors: Muhlison Wildan , Purnamasari Listya , Sucipto Irwanto , Saputra Tri Wahyu , Ahmad Nanda Khoirun Nisa
Published: August 2023

Poor waste management will affect various aspects such as environmental pollution due to piles of garbage that disturb the community. It needs a waste treatment process and one of them is the bioconversion process. This process uses the biological agent Black Soldier Fly (Hermetia illucens). This research was conducted with three organic matter variations, namely tofu pulp, eggplant pulp, and pumpkin pulp as bioconversion media. The ability of BSF larvae in bioconversion organic waste can be seen from several parameters, namely temperature, media pH, larvae weight growth, WRI (Waste Reduction Index), survival rate, consumption substrate and feed residue. The results were analyzed by one-way ANOVA test then the Least Significant Difference (LSD) test with a significance level of 95%. The research results with different bioconversion media are significantly different results on the ability of BSF larvae in the decomposition process. Tofu pulp media show the best results compared to other media with suitable conditions for the decomposition process with a final temperature of 28.8 oC, pH 7, weight growth 28.35%, WRI 5.38%, and 80.71% substrate consumption.
Earthquake Disaster Risk Assessment Analysis In Jailolo Coastal Region
Authors: Ningrum Rohima Wahyu , Amelia Risky Nuri , Hasmawati Hasmawati , Aswan Marwis , Saprudin Saprudin
Published: August 2023

The village, which is located in the Coastal District of Jailolo, West Halmahera, had a considerable impact from the earthquake. This is because the earthquakes that occur are influenced by tectonic earthquakes due to the movement and collision of tectonic plates on land and the seabed. If the collision causes a fault in the seabed, a tsunami can occur. The purpose of this study was to analyze the risk of earthquake disasters in supporting development planning and to produce an earthquake risk map for the coastal area of Jailolo District, West Halmahera. The analytical method used is descriptive quantitative, and the data collection model is a questionnaire with random sampling. The results obtained are in the form of a hazard value using the PGA value and produce the same PGA value, namely 0.70 gal with a high category for Bobanehena Village, Saria Village, Payo Village, Bobo Village, and Idamdehe Village. The value of vulnerability (physical, social, and economic vulnerability) shows that Bobanehena Village has a high vulnerability index value with a score of 1.9. The capacity index value for the five villages has the same score of 3 and is included in the high class. So that the value of the earthquake risk level with a high class is obtained, namely in Bobanehena Village and Bobo Village. The high level of risk in the two villages is influenced by the frequency of occurrence of earthquakes with high intensity in the area, the impact of losses due to earthquakes is quite high. Earthquake risk reduction efforts will be maximized if a comprehensive earthquake risk assessment analysis is carried out and a commitment from the Government is carried out.
Effects of Nuclear Polyhedrosis Virus (NPV) on The Death of Spodoptera litura Larvae (Lepidoptera: Noctuidae) and its Comparison with Chemical Pesticide
Authors: Kurnianto Agung Sih , Janah Ana Miftahul , Magvira Nur Laila , Pradana Ankardiansyah Pandu
Published: August 2023

Spodoptera litura larvae are polyphagous insects and have caused a lot of damage to various commodities. The application of Nuclear Polyhedrosis Virus (NPV) can be used as an alternative to control, other than by using chemical pesticides. This research was conducted to compare the mortality of S. litura with NPV treatment and compare them with chemical pesticides. NPV treatment with a concentration of 0.3% is used to soak the leaves to be used as larvae feed, as well as chemical pesticides the active ingredient Lambda-cyhalothrin (with a concentration of 0.05%). Observations were made at 2, 24, 48, and 76 hours after application. The parameters observed from the treatment included the percentage of mortality and morphological changes of larvae. Observation of the morphological changes of larvae was carried out by the parameters of slowing motion, discoloration, decaying, and severe shrinkage. Based on the results of the comparison, the percentage of mortality in the treatment of chemical pesticides is higher than the NPV. Death of 100% in Lambda-Cyhalothrin treatment was recorded in the first 2 (two) hours, while for NPV treatment is as much as 80%. The larvae with NPV treatment undergo a process of color change and the decomposition process is faster than the treatment of Lambda-cyhalothrin.
Modified Aluminium Tube Profile to Enhance the Performance of Impact Energy Absorption
Authors: Hardi Witono , Suyono Tri , Hartono Rudi
Published: August 2023

The use of thin-walled structures as impact energy absorbers are well known. The thin aluminum cylinder tube is a good impact energy absorber. However, the energy-absorbing design must also have sufficient toughness. In this research, we made modifications to improve the performance of the thin aluminum tube. The thin aluminum cylinder's modification is prepared by adding four grooves along the wall in the axial direction. Numerical modeling was carried out using the finite element method. The impact test is carried out by Â applying a high Â speed of 50 m/s Â to a hammer that hits the axial direction's specimen. Explicit dynamic analysis is used in this modeling. The reaction force is obtained by measuring fixed support at the end of the tube. The total energy as a function of time is received in this simulation. The explicit dynamic simulation results show that the toughness of the modified specimens increased compared to the original model. The amount of energy per unit time at the start of the collision appears to be higher. Likewise, the total deformation in the modified specimen is shorter than in the original specimen. Thus, until the collision's end, the modified thin aluminum tube specimen provides better performance and absorption of impact energy.
Analysis of Ni2+ Metal Adsorption on Chitosan Membrane with Density Functional Theory (DFT) Method
Authors: Natsir Muhammad Adrian , Zam Zam Zulkifli , Muin Fadlan , Umar Sudir
Published: August 2023

This study aims to modeling the membrane structure of chitosan containing nickel metal and determine the adsorption energy and energy gap of the chitosan molecular structure containing nickel metal. The molecular structure modeling was carried out using a computer using Avogadro software and analyzed with GaussView 6 software. The results of shape optimization using the Density Functional Theory (DFT) method with the basis set B3LYP/LanL2DZ were the total energy of the chitosan-Ni compound. The analysis revealed the interaction between the structure of chitosan and metal Ni. Determination of the structural model of chitosan and Ni metal shows a stable molecular geometry with an electronic energy value of 38826.90 eV in chitosan-Ni with a linear molecular geometry. Modeling the structure of chitosan with nickel metal shows the presence of bonds between nickel metal and chitosan in the inter glycosidic bonding region with a bond length of 1.92 for Ni-N and 1.81 for Ni-O. The adsorption energy of the chitosan structure with nickel is -18.236 eV. The energy gaps in the structure of chitosan-Ni, chitosan, and Ni are 0.10456, 0.23481, and 0.10213 eV.
Earthquake Disaster Risk Analysis in South Morotai Tourism Area
Authors: Amelia Risky Nuri , Aswan Marwis
Published: August 2023

Morotai is located in the subduction zone of the Philippine Sea Plate and has the potential to be a threat to earthquake disasters. Given that the Morotai region tourism area has the potential to be threatened by earthquakes, it is necessary to prepare a Disaster Risk Assessment (KRB) in the Tourism Area, especially in South Morotai. The purpose of the disaster risk analysis study in the tourism area is to identify potential hazards based on earthquake vulnerability, and prepare a disaster risk assessment in the South Morotai priority tourism area. The risk assessment research conducted uses earthquake hazard information with the maximum ground acceleration value on the surface (PGA) obtained from updated results that have been carried out by PusGEn. The earthquake disaster risk assessment resulting from the analysis of hazard, vulnerability and capacity is obtained in the form of a high disaster risk level. Areas with high disaster risk are Daruba Village (score 11.1) and Darame Village (13.9). However, in terms of the area at high risk, Daruba Village has a large area of 15.1 km2. A planning strategy is needed for the development of disaster resilient tourism destinations by analyzing the 6A factors, namely attractions, accessibility, amenities, available packages, activities, and ancillary services.