bluuebunny/crossref_metadata_2025 huggingface dataset:
ANALISIS KANDUNGAN PROTEIN KASAR (PK) DAN SERAT KASAR KOMBINASI RUMPUT GAJAH (PANNISETUM PURPUREUM) DAN TUMPI JAGUNG YANG TERFERMENTASI
Authors: Udding Ramlah , Nohong Budiman , Munir Munir
Published: May 2024

Tujuan penelitian ini adalah  untuk mengetahui  pengaruh fermentasi kombinasi rumput gajah dan tumpi jagung dengan Trichoderma sp. terhadap kandungan  protein kasar (PK) dan serat kasar (SK). Penelitian ini menggunakan Rancangan Acak Lengkap (RAL) dengan ulangan sebanyak tiga kali dan tiga taraf perlakuan yaitu R0= kontrol 100% rumput gajah, R1= 90%  rumput gajah + 10%  tumpi jagung  (Trichoderma sp.), R2= 80%  rumput gajah + 20%  tumpi jagung  (Trichoderma  sp.) dan, R3= 70%  rumput gajah + 30%  tumpi jagung  (Trichoderma  sp.). Kandungan  protein kasar kombinasi  rumput gajah dan tumpi jagung yang terfermentasi tidak berpengaruh nyata, walaupun demikian tetapi tetap mengalami peningkatan kandungan protein kasar. Yang  tertinggi ke terendah adalah R2 (10,00%), R3 (9,98%), R0 (9,85%) dan R1 (9,39%).  Hasil analisis ragam kandungan serat kasar  kombinasi rumput gajah dan tumpi jagung yang terfermentasi,  memperlihatkan sangat berpengaruh nyata. Kandungan serat kasar dari yang tertinggi ke terendah adalah R0 (33,99%), R2 (28,01%), R3 (025,27%) dan R1 (24,48%).  Perlakuan R0 berbeda nyata terhadap perlakuan R1, R2 dan R3 tetapi perlakuan R1,R2 dan R3 tidak berbeda nyata. Kandungan protein kasar rumput gajah dan tumpi jagung yang terfermentasi yang tertinggi adalah 80% rumput gajah + 20% tumpi jagung dan kandungan serat kasar  rumput gajah dan tumpi jagung yang terfermentasi yang terendah adalah 90% rumput gajah + 10% tumpi jagung.
POTENSI BIOMASSA TERUBUK (SACCHARUM EDULE HASSKARL) SEBAGAI PAKAN UNTUK PERTAMBAHAN BOBOT BADAN SAPI
Authors: Chaniago Ramadhani
Published: May 2024

Selain dikonsumsi sebagai sayuran, terubuk juga mempunyai potensi sebagai pakan. Diharapkan dapat mengatasi kendala utama yang dihadapi petani dalam meningkatkan produktivitas sapi. Ini dapat menjadi salah satu alternatif dalam meningkatkan kesejahteraan petani dengan sistem usahatani terpadu. Penelitian ini bertujuan mengidentifikasi potensi biomassa tanaman terubuk, menganalisis pengaruh pakan dari  limbah terubuk terhadap pertambahan bobot badan sapi. Penelitian dilaksanakan di Kecamatan Luwuk Timur Kabupaten Banggai Sulawesi Tengah dan Laboratorium Teknologi Hasil Pertanian Universitas Tadulako Palu. Untuk mengidentifikasi potensi biomassa terubuk yaitu dengan cara menghitung biomassa basah dan kering dengan menghitung luas lahan x jarak tanam x berat segar. Sedangkan analisis laboratorium dilakukan untuk menghitung bahan kering, protein kasar, lemak kasar dan serat kasa. Pertambahan bobot badan sapi dihitung dengan cara menimbang bobot badan sapi sebelum dan setelah pemberian pakan ternak dari terubuk. Hasil penelitian menunjukkan jika ketersediaan limbah terubuk rata-rata sebanyak 11.300 kg/ha maka limbah terubuk mampu memenuhi kebutuhan ternak 4 ekor sapi selama 90 hari. Sedangkan potensi kualitas tanaman terubuk mengandung bahan kering 13%,  protein kasar 3,15% dan lemak kasar 1,28% serta mengandung serat kasar 41, 27% dan BETN 42,41%. Pertambahan berat badan ternak sapi yang diberi terubuk sebanyak 7,5 kg pagi dan sore memberikan pertambahan berat badan 0,03 kg/ekor/hari.
ANALISIS JUMLAH TELUR CUMI-CUMI BERDASARKAN MUSIM
Authors: Hasmawati Hasmawati
Published: May 2024

Cumi-cumi (Cephalopda) dapat mengisi pasaran internasional sebagai salah satu hasil perikanan, selain ikan dan udang.  Salah satu upaya pengelolaan sumber daya cumi-cumi adalah membuatkan tempat sebagai sarang (atraktor) untuk berkumpul berteduh, mencari makan, dan menempelkan telur sehingga populasinya dapat dimanfaatkan secara berkelanjutan. Penelitian ini bertujuan untuk mengetahui musim penempelan telur cumi-cumi dan pola sebaran parameter oseanografi dan kelimpahan telur cumi-cumi berdasarkan ruang dan waktu. Atraktor ditempatkan pada perairan dengan kedalaman 4 - 10 meter. Pengumpulan data jumlah telur yang menenmpel dilakukan pada Musim Peralihan dan Musim Timur tahun 2011-2012. Data dianalisis dengan analisis deskriptif frekuensi  kemudian dilanjutkan dengan uji Mann-Whitney  untuk melihat perbedaan yang signifikan antara jumlah telur yang menempel pada atraktor dan  perbedaan  jumlah telur pada musim yang berbeda. Uji koefisien korelasi Spearmann untuk melihat hubungan jumlah telur dengan faktor lingkungan. Hasil penelitian menunjukkan musim penempelan telur cumi-cumi di perairan Spermonde khususnya  diperairan Pulau Samatellu Lompo terjadi di  Musim Timur. Pada musim peralihan, salinitas dan iluminasi cahaya menunjukkan hubungan korelasi positif. Sedangkan pada Musim Timur, kecepatan arus dan salinitas menunjukkan korelasi negatif dengan jumlah telur cumi-cumi yang menempel pada atraktor.
KARAKTERISTIK SUBSTRAT UNTUK PENEMPELAN TELUR CUMI-CUMI DI PULAU PUTE ANGING KABUPATEN BARRU
Authors: Aras Muhammad , Hasmawati Hasmawati
Published: May 2024

Cumi-cumi adalah salah satu sumberdaya hayati laut yang bernilai ekonomis penting dan merupakan komoditi ekspor. Cumi-cumi biasanya memilih kedalaman dan berbagai tipe substrat untuk menempelkan telurnya. Letak substrat yang dipilih adalah pada tempat yang agak samar dan tersembunyi pada kedalaman 1-7 meter. Telur cumi-cumi di  Pulau Pute Anging Kabupaten Barru, ditemukan pada kedalam 5 dan 7 meter. Penelitian ini bertujuan untuk mengetahui karakteristik substrat penempelan telur cumi-cumi di perairan Pulau Pute Anging Kab. Barru. Pengumpulan data dilakukan pada Januari hingga Juni 2013 dengan pengamatan langsung. Data dianalisis deskriptif dengan cara tabulasi berdasarkan karakteristiknya untuk memberikan gambaran situasi tentang substrat penempelan telur cumi-cumi yang sebenarnya. Hasil penelitian menunjukkan bahwa karakteristik substrat penempelan telur yang mempengaruhi cumi-cumi untuk menempelkan telurnya adalah keadaan substrat  aman, terlindung dan tersamar, bentuk dan model substrat  bulat batangan. Faktor Oseonografi yang berpengaruh adalah suhu 29-30°C, salinitas 31-32 per mil, kecepatan arus 0.02-0.05 m/detik, jarak pandang 4-5 meter, kedalaman 3-7 meter dan dasar perairan berpasir sedikit lumpur.
PARTISIPASI PETANI DALAM PEMANFAATAN SUMBER PROTEIN DI AREAL TAMBAK SEBAGAI PAKAN KOMPLIT TERNAK ITIK DI KABUPATEN PANGKEP
Authors: Harifuddin Harifuddin , Wadi Ahmad
Published: May 2024

Usaha ternak itik intensif mengalami kendala dalam penyediaan sumber protein yang berkelanjutan. Jika menggunakan pakan komersil, maka keuntungannya sangat sedikit utamanya pada skala usaha kecil. Penelitian ini bertujuan menemukan sumber protein alternatif di areal tambak yang dapat digunakan sebagai bahan pakan komplit dan untuk membuat formulasi pakan komplit ternak itik. Manfaat  penelitian ini adalah merekomendasikan formulasi pakan komplit untuk para peternak itik intensif. Metode yang digunakan adalah metode partisipatif, melalui focus group discussion (FGD), survei ketersediaan dan keterjangkauan sumber protein di areal tambak, selanjutnya menyusun formulasi pakan itik dengan menggunakan metode bujur sangkar dengan target protein pakan minimal 18%. Hasil penelitian menunjukkan sumber protein di areal tambak untuk pembuatan pakan komplit ternak itik adalah rebon, udang laci-laci, kangkung, batang pisang dan daun pisang dengan kandungan protein masing-masing sebesar 54,16%, 50,48%, 16,27%, 3,26% dan 12,05%. Berdasarkan kebutuhan nutrisi ternak itik dengan harga murah maka formulasi pakan komplit adalah rebon 17%, udang laci-laci 10%, kangkung 14%, batang pisang 55% dan daun pisang 4%.
SKREENING BAKTERI ASAM LAKTAT (BAL) BERSIFAT AMILOLITIK DARI GASTROINTESTINAL LOBSTER AIR TAWAR (CHERAX QUADRICARINATUS)
Authors: Hasniar Hasniar , Dahlia Dahlia , Seniati Seniati
Published: May 2024

Penelitian bertujuan ini adalah untuk mengisolasi bakteri asam laktat dari gastrointestinal lobster air tawar (Cherax quadricarinatus), yang mampu menghambat pertumbuhan bakteri patogen dan mempercepat pertumbuhan bakteri menguntungkan yang menghasilkan lebih banyak jumlah enzim kontribusi dalam penyerapan nutrisi. Isolasi bakteri dilakukan dengan pembiakan bakteri di MRS dan MRSA media dan digojok selam 24 - 48 jam. koloni yang berbeda dipindahkan ke MRSA media isolasi. bakteri terisolasi secara fisik dan kimia dianalisis. Konfirmasi koloni terisolasi dilakukan dengan menggunakan CaCO3 dan analisis ketahanan pada kondisi asam (pH 2). Hasil penelitian menunjukkan bahwa ada 9 spesies bakteri yang diisolasi dari gastrointestine yang memiliki karakteristik fisik dan kimia yang berbeda. Enam dari mereka adalah bakteri asam laktat benar. Setelah analisis resistensi yang dilakukan pada asam lambung, ada 3 isolat resisten pada pH 2. isolat ketiga kemudian disimpan sebagai laktat kandidat bakteri asam. Untuk mengkonfirmasi isolat ketiga sebagai bakteri asam laktat, diperlukan analisis lebih lanjut terdiri dari analisis perekat, analisis tahan suhu, analisis antagonis dan analisis fakultatif.
TEPUNG UBI JALAR SEBAGAI BAHAN FILLER PEMBENTUK TEKSTUR BAKSO IKAN
Authors: Fitriyani Evi , Nuraenah Nani , Nofreena Andri
Published: May 2024

Tujuan dari Penelitian ini adalah melihat formulasi terbaik tepung ubi jalar untuk membentuk tekstur bakso ikan. Penelitian ini dilakukan dalam 3 tahap yaitu (1) pembuatan tepung ubi jalar; (2) pembuatan bakso ikan dengan penambahan tepung ubi jalar (0%, 4%, 6% dan 10%); (3) Pengujian bakso ikan meliputi uji Texture Profile Analysis (TPA), uji sensori, uji lipat (folding test) dan uji gigit. Hasil formulasi bakso ikan yang terbaik akan dianalisa kadar air, kadar abu, kadar protein dan kadar lemak. Analisis data dari hasil uji fisik (uji lipat dan uji, gigit) dilakukan dengan menggunakan analisis ragam (ANOVA), hasil data pengujian organoleptic ditabulasi sesuai hasil rerata pada taraf kepercayaan 95% dan hasil texture profile analysis (TPA) secara deskriptif. Hasil penelitian menunjukkan bahwa hasil analisis statistik Uji ANOVA pada bakso ikan dengan penambahan tepung ubi jalar tidak memberikan pengaruh yang berbeda nyata (P>0,05) terhadap uji lipat, sedangkan uji gigit bakso ikan memberikan pengaruh yang berbeda nyata (P<0,05). Hasil Analisa uji TPA pada Bakso ikan dengan penambahan tepung ubi jalar (0%, 4%, 6% dan 10%) memberikan nilai hardness (202.75 - 319.75 N), Cohesiveness (0,51 – 0,75), adhesiveness (6,60 – 7,87 mJ), fracturability (62 - 233.25 N), chewiness (24.69 - 42.96 mJ), Springiness (21.13 - 23.09 mm), Gumminess (119.05- 194.25 N). Berdasarkan hasil indeks efektivitas didapat bahwa perlakuan terbaik yaitu dengan penambahan tepung tapioka 6% dan tepung ubi jalar 4%, ini dilihat dari parameter kenampakan, bau, tekstur, warna, rasa, uji TPA, uji lipat dan uji gigit.
KAJIAN UJI KONFRONTASI TERHADAP BAKTERI PATHOGEN DENGAN MENGGUNAKAN METODE SEBAR, METODE TUANG DAN METODE GORES
Authors: Seniati Seniati , Marbiah Marbiah , Nurhayati Nurhayati
Published: May 2024

Peningkatan kualitas hasil pengujian konfrontasi terhadap bakteri pathogen maka dianggap perlu melakukan suatu penelitian di laboratorium untuk mengkaji lebih mendalam pengujian dengan metode sebar, metode tuang atau metode gores dengan menggunakan bahan serapan paper disk. Penelitian ini menggunakan Rancangan Acak Lengkap dengan tiga perlakuan yaitu : (A) Uji konfrontasi dengan metode tuang, (B) Uji konfrontasi dengan metode sebar dan (C) Uji konfrontasi dengan metode gores, masing-masing perlakuan dilakukan tiga kali pengulangan.  Peubah yang diamati meliputi (1) Kerataan pertumbuhan bakteri pathogen di permukaan media, (2) Lama waktu mengkultur dan (3) Resiko kontaminasi dari setiap metode. Hasil penelitian menunjukkan bahwa uji konfrontasi dengan metode tuang adalah yang terbaik, dengan keunggulan sebagai berikut; permukaan bakteri lebih halus dan merata di seluruh permukaan media sehingga zona bening nampak lebih jelas dan pengukuran diameter lebih mudah, durasi waktu yang digunakan untuk mengkultur satu cawan petri lebih singkat dan resiko kontaminasinya lebih sedikit apabila dibandingkan dengan kolaborasi metode sebar dan gores.  Dengan demikian metode tuang merupakan metode terbaik yang dapat diterapkan di laboratorium dalam melakukan uji konfrontasi terhadap bakteri pathogen.
TEKNIK PEMILIHAN VARIETAS UNGGUL KEDELAI BERBASIS WEB
Authors: Kumalasari Tien
Published: May 2024

Tujuan penelitian ini adalah mendesain user interface yang dapat membantu mensosialisasikan varietas unggul kedelai yang telah dilepas oleh pemerintah. Selain itu membantu petani dalam memilih varietas unggul kedelai. Penelitian terdiri atas empat tahap, yaitu investigasi sistem, analisis sistem, desain, dan implementasi sistem. Tahap implementasi sistem menggunakan perangkat lunak PHP dan MYSQL. Penelitian menghasilkan 3 cara pemilihan dan pencarian varietas unggul kedelai, yaitu pencarian berdasarkan nama varietas, pemilihan berdasarkan kriteria atau parameter yang telah ditentukan (kategori), dan pencarian berdasarkan kata kunci. Hasil pencarian dan pemilihan varietas adalah berupa deskripsi detail dari varietas unggul yang terpilih.
ANALISIS RESPON ECENG GONDOK (Eichornia crassipes) TERHADAP LIMBAH DETERJEN DI PERAIRAN DANAU TEMPE KABUPATEN WAJO
Authors: Haerunnisa Haerunnisa , Anita Yetti , Rahmawati Rahmawati
Published: May 2024

Penelitian bertujuan untuk mengetahui respon eceng gondok (Eichornia crassipes) terhadap limbah deterjen dan mengetahui perubahan pH air danau akibat limbah deterjen. Selain itu untuk fitoremediasi eceng gondok (Eichornia crassipes) terhadap limbah deterjen. Penelitian dilaksanakan pada Agustus – Oktober 2016 di Laboratorium Biologi STKIP Puangrimaggalatung Sengkang untuk analisis sampel, pengamatan dilaksanakan di Perairan Danau Tempe Kabupaten Wajo. Tanaman eceng gondok ditanam pada 9 gelas plastik berisi tanah dan air sebagai media tanam. Tanaman diaklimatisasi selama satu minggu dan dilanjutkan dengan penelitian dengan desain penelitian: a) 3 gelas plastik : eceng gondok + air danau, b) 3 gelas plastik : eceng gondok + air + deterjen, c) 3 gelas plastik : eceng gondok + air + tanah + deterjen.  Setelah diaklimatisasi diberi perlakuan dengan air deterjen dan tidak diberi air deterjen mencapai tiga perempat tinggi dari gelas plastik.  Perbedaan respon antar perlakuan dan antar spesies dilakukan uji Anova. Hasil penelitian menunjukkan eceng gondok mampu menurunkan konsentrasi limbah deterjen dalam perairan secara signifikan. Pemberian tanah dalam penelitian mengurangi pencemaran limbah deterjen terhadap pertumbuhan eceng gondok. Potensi eceng gondok sebagai tanaman remediasi dapat dilihat pada perubahan pH dan konduktivitas media tanam yang telah diintroduksi limbah deterjen. Pada awal perlakuan, media tanam eceng gondok yang mengandung limbah deterjen memiliki pH sebesar 8,18 dan konduktivitasnya sebesar 3,18. Sementara itu, media tanam eceng gondok yang tidak mengandung limbah deterjen (kontrol) memiliki pH sebesar 6,75 dan konduktivitasnya sebesar 0,38. Setelah dua minggu, terjadi kenaikan pH dan penurunan konduktivitas media tanam baik pada kontrol maupun padaEceng gondok. Kenaikan pH mencapai 8–8,77 dan penurunan konduktivitas mencapai 0,17. Sistem fitoremediasi yang dilakukan lebih ramah lingkungan, murah, estetik, dan dapat mengurangi masuknya kontaminan ke lingkungan melalui sistem air permukaan.
Budidaya Ternak Babi Fase Starter dengan Penggunaan Sumber Pakan Konsentrat yang Berbeda di Kabupaten Tana Toraja
Authors: Tala Selfin , Irfan Muhammad
Published: May 2024

Pig livestock in Tana Toraja and North Toraja Regencies are made as a side business, especially by mothers and carried on for generations. Every morning the pork vegetables were picked and then processed with rice milling bran to become feed. Pork vegetable is the local name’s for sweet potato leaves (Ipomea batatas). Generally, pig farmer’s use concentrates mixed with yellow corn and smooth bran, which are referred to as local concentrates. Traditional breeders in Tana Toraja still use a number of concentrates which depend on the availability of feed. This study aimed to determine the effect of several types of concentrates on the performance of starter age pigs. The study used 9 male pigs and placed in 9 individual cage units and arranged in a Randomized Block Design (RBD), consisting of 3 treatments and 3 treatment groups based on body weight. The treatments consist of Local Concentrate + Pork Vegetable (P1), Local Concentrate + Factory Concentrate + Pork Vegetable (P2), and the Factory Concentrate (P3) by grouping based on body weight. The variables measured were diet consumption, weight gain, and efficiency of ration use. The results showed that the treatment had a significant effect (P <0.05) on Weight Gain, Consumption, and Ration Efficiency. The use of concentrated sources by mixing local concentrates, factor concentrates, and pork vegetables give the best for starter phase pigs.
Pengaruh Sistem Pertanaman Terhadap Pertumbuhan, Produktivitas, dan Viabilitas Benih Pasca Simpan Beberapa Genotipe Sorgum
Authors: Siregar Syahanda Riswandi , Pramono Eko , Kamal Muhammad , Hadi M. Syamsoel
Published: May 2024

The sorghum-cassava intercropping system is a solution to the limited land for planting sorghum in Lampung Province, which is a cassava production area. The aim of this study was to determine the effect of the cropping system on the growth, production, and vigor of the six months' shelf life of the seeds of five sorghum genotypes. The research was conducted on agricultural land in Karang Endah Village, Jati Agung Subdistrict, South Lampung Regency (5.28° SL 105.27° EL) at 82.3 masl and at the Laboratory of Seed and Plant Breeding, Faculty of Agriculture, University of Lampung. The experiment was arranged factorial in a split-plot and repeated as 2 blocks. The main plot was a cropping system consisting of a monoculture cropping system (p1) and an intercropping system (p2). Subplots consist of five sorghum genotypes consisting of Pahat (g1), GHP-1 (g2), GHP-3 (g3), GHP-5 (g4), GH-33 (g5). The sorghum that is planted intercropping with cassava is between 2 rows of cassava plants with 15 cm spacing in rows. On every two rows of cassava, a row of sorghum is planted. The spacing of cassava is 80 cm x 60 cm. The results showed that the intercropping system affected the number of leaves but showed better results at 71.20 g stover dry weight for GHP-1 and 50.10 SPAD for GH-33 for leaf greenness. The difference in cropping systems affected the productivity of sorghum seeds on seed weight per panicle, namely 31.83 g for GHP-3 which showed the largest yield compared to other genotypes but had no effect on the number of seeds per panicle. The treatment of five sorghum genotypes affected the germination rate by 36.83% / day for GH-33 and total normal germination by 84.50% for GH-33. Strong normal sprouts were 89% found in GH-33 from monoculture crops.
Struktur Pendapatan dan Pola Konsumsi Pangan Rumah Tangga Nelayan
Authors: Rosada Ida , Nurliani N , Ayufadhilah Nur
Published: May 2024

The household income comes from the income of fishermen's household groups (husband, wife, children, and other family members) and works (fishers and non-fishermen). The amount of household income strongly influences the consumption pattern of anglers households. This study aims to analyze the amount of income, food consumption patterns, and the relationship between income and the model of fishermen household food consumption. The population in this study were all fisherman households in Panyula Village, East Tanete Riattang District, Bone Method District. The research's location was carried out purposively, considering that the area is mostly coastal areas, and the livelihood of the community is fishermen. Determining the sample of 10% using a simple random method (simple random sampling), so the number of samples selected is 50 fisherman households. Data were analyzed using the method of income analysis, expected food patterns (PPH), and Chi-square. The results showed that the income structure of fishermen's household originated from the husband's income of 60.3%, the wife 3.8%, the children 30.4%, and the profit of other family members 5.5%. Sources of income based on the type of work, namely from work as fishermen, amounted to 80.5% and alternative jobs other than fishers by 19.5%. The pattern of fishermen's household food consumption based on the Expected Food Pattern is 90% in the shallow category, and there are no respondents insufficient and proper groups. The relationship between income and household food consumption patterns of fishers is not significant.
Efek Dominasi Peran Gender Terhadap Keberlanjutan Pola Nafkah Usaha Budidaya Murbei dan Pemeliharaan Ulat Sutera
Authors: Adam Andi Maslia Tenrisau
Published: May 2024

Mulberry cultivation and silkworm maintenance are household agro-industries with short production processes, which can be done by men and women and produce quickly. The research aims to analyze the role of gender in the household of mulberry cultivation and silkworm maintenance and analyze the effect of gender roles' dominance on the sustainable livelihood of the mulberry cultivation and silkworm maintenance. This research is a qualitative descriptive with case studies in nine businesses of mulberry cultivation and silkworm maintenance in Sabbangparu District, Wajo Regency. Research informants were purposive. Data were analyzed using a qualitative approach. The results showed that gender roles in roles allocation (reproductive, social, productive), economic allocation, and power allocation were dominated by wives (consecutively 51.94%, 47.08%, and 52.48%). High-income households, wives play a dominant role in allocating the positions while the power allocation tends to be decided together (husband and wife). The dominance of gender roles (husband and wife) in households does affect the sustainability of livelihood. Therefore, the husband and wife's involvement becomes necessary so that the mulberry cultivation and silkworm maintenance can run well and sustainably.
Analisis Faktor-Faktor yang Mempengaruhi Pendapatan Nelayan Tradisional di Kabupaten Bone, Sulawesi Selatan
Authors: Akhmad A , Amir A , Nurhapsa N
Published: May 2024

Traditional fishers play an essential role in Indonesia's fishing business because most fishers are small-scale fishermen who are commonly referred to as conventional fishermen. This study's aim was to determine the factors that affect the income of traditional fishers in Bone Regency. The data used were cross-section data of 30 traditional fishermen in Tanete Riattang Timur and Sibulue Districts, Bone regencies. Data were analyzed by multiple linear regression analysis. The results showed that the variable price, amount of catch, and experience in fishing had a positive and significant effect on increasing fishermen's income in Bone Regency. Meanwhile, the variables of capital, number of workers, level of education, and number of dependents had no significant effect on fishermen's opinion. So the stability of fish prices during the fishing season needs attention from the government to increase fishermen's income.
Students’ Thinking Process in Solving HOTS Problem in Derivative Application Materials
Authors: Pratama Aditya , Sudirman Sudirman , As'ari Abdur Rahman
Published: May 2024

In every mathematics learning process, it is crucial to identify students' thinking processes to observe and assess their mathematical thinking abilities. One way to comprehend students' thinking processes is by examining their work or their responses to problem-solving test questions. This research utilized Polya's framework, which comprises the four stages of problem-solving. One of the efforts to measure and improve students' problem-solving skills is by giving them High Order Thinking Skills (HOTS) questions.  In this study, the researcher employed a qualitative approach, specifically the case study research type, to explore the thinking processes of students who make mistakes in solving higher-order thinking skills (HOTS) problems. Subjects in this study were collected by submitting HOTS-type questions to eleven 12th-grade students. The researcher chose one student with incorrect answers and with more complete writing than others to be the subjects. The results revealed that the subject engaged in the stages of understanding the problem, planning the solution, and executing the plan, but did not undertake the "looking back" stage. Overall, this study provides insight into the subject's thought process in solving HOTS problems related to derivative application material using Polya's framework.
Decision Support System Selecting The Best Skincare Using The Oreste Method
Authors: Husein Ismail , Anggraini Dwi , Siregar R. Maisaroh Rezyekiyah
Published: May 2024

The development of the beauty industry, especially in skincare products, raises the need for a system that helps individuals choose skincare products according to their needs and skin conditions. This research aims to develop a Decision Support System (SDM) using the ORESTE Method to facilitate the selection of the best skincare. ORESTE is a multi-criteria decision-making method capable of dealing with uncertainty and ambiguity. This research adapts the ORESTE Method in the context of skincare product selection by considering important criteria such as price, quality, brand, age, and suitability to the user's skin type. The sampling technique that will be used in this research is non probability sampling technique with purposive sampling type.  Applied research is the type of research used in this study. As a continuation of basic research, applied research aims to solve a problem in society, industry, or government. The type of data used is primary data, and the data source used is a questionnaire / questionnaire. The data was used to develop a decision model using the ORESTE Method, which was then tested and validated using a diverse sample of skincare products. The results show that the developed SPK provides skincare product recommendations according to user preferences and needs. By using the ORESTE Method, this SPK is able to overcome the complexity in skincare decision making, providing accountable results. This research contributes to making it easier for individuals to choose skincare products according to their skin conditions and preferences, and serves as a basis for the development of similar systems in the beauty field. An attempt to show the novelty between this research and previous research was made by using the ORESTE method in skincare product selection. The results show MS Glow as the best alternative with a preference value of 1.348, followed by Wardah, Scarlett, Garnier, and Pond's with their respective preference values.
Students’ Profiles with Interpersonal and Intrapersonal Intelligence in Solving Mathematical Problems
Authors: Rochim Abdur , Hidayati Wiwin Sri , Masruroh Faridatul
Published: May 2024

Kecerdasan interpersonal dan intrapersonal diperlukan dalam memecahkan masalah matematika. Penelitian ini bertujuan menganalisis profil siswa dengan kecerdasan interpersonal dan intrapersonal dalam memecahkan masalah matematika. Penelitian ini merupakan penelitian deskriptif kualitatif dengan subjek penelitian berjumlah dua. Pemilihan subjek berdasarkan pada skala kecerdasan majemuk. Teknik pengumpulan data menggunakan teknik tes, wawancara dan skala penilaian. Instrumen utama adalah peneliti sendiri, sedangkan instrumen pendukung yaitu lembar tes pemecahan masalah, pedoman wawancara dan lembar skala kecerdasan majemuk. Keabsahan data menggunakan triangulasi waktu. Analisis dilakukan dengan reduksi data, penyajian data dan simpulan. Berdasarkan hasil analisis data dan pembahasan diperoleh kesimpulan bahwa subjek berkecerdasan interpersonal dalam memecahkan masalah barisan aritmatika adalah subjek melakukan semua tahapan pemecahan masalah dengan benar tetapi kurang lengkap. Subjek mengkomunikasikan semua ide pemecahan masalah secara lisan dan tulis dengan lancar. Subjek berkecerdasan intrapersonal dalam memecahkan masalah barisan aritmatika adalah subjek melakukan semua tahapan pemecahan masalah dengan keyakinan dan berdasarkan waktu. Subjek menunjukkan kepercayaan diri dan manajemen waktu yang efektif.
 
Interpersonal and intrapersonal intelligence are required to solve mathematical problems. This study aims to analyze the profiles of students with interpersonal and intrapersonal intelligence in solving mathematical problems. This qualitative descriptive study involved two participants selected by multiple intelligences tests. The data collection techniques utilized tests, interviews and rating scales. The main instrument was the researcher himself, while the supporting instruments were the problem solving test sheets, interview guidelines and multiple intelligences scale sheets. The time triangulation was used to validate the data. The data reduction, data presentation and conclusions were conducted in the analysing process. Based on the results of the data analysis and discussion, the study concluded that in solving arithmetic sequence problems the participant with interpersonal intelligence performed all stages of problem solving correctly, but incomplete. The participant communicated all the problem solving ideas in written and spoken forms fluently. The participant with intrapersonal intelligence in solving arithmetic sequence problems confidently and efficiently conducted all problem solving stages. The participant demonstrated good self-confidence and an effective time management.
Analyzing Students' Mathematical Communication Ability in Solving Numerical Literacy Problems
Authors: Rahmawati Annisa , Cholily Yus Mochamad , Zukhrufurrohmah
Published: May 2024

Masih perlu ditingkatnya kemampuan komunikasi matematis siswa, menunjukkan bahwa perlu adanya analisis yang baik dan tepat untuk merancang langkah perbaikan yang efektif. Analisi kemampuan komunikasi matematis dapat memberikan deskripsi yang jelas berkaitan dengan kemampuan komunikasi matematis siswa. Oleh karena itu, tujuan dari penelitian ini adalah untuk mendeskripsikan kemampuan komunikasi matematis siswa dalam menyelesaikan soal berciri literasi numerasi. Subjek penelitian ini adalah 6 siswa kelas VIII-B SMP Negeri 1 Pasrujambe. Metode yang digunakan dalam penelitian ini menggunakan pendekatan kualitatif dengan jenis penelitian deskriptif. Instrumen yang digunakan dalam penelitian ini adalah lembar tes tulis dan lembar pertanyaan tes lisan. Penelitian ini dilakukan melalui tahapan perencanaan, pelaksanaan dan tahap akhir. Teknik analisis data dalam penelitian ini terbagi menjadi tiga tahapan yaitu reduksi data, penyajian data, dan penarikan kesimpulan. Hasil dari penelitian diperoleh 4 kategori, antaralain: siswa dengan kemampuan komunikasi matematis tulis sedang dan komunikasi matematis lisan tinggi, siswa dengan kemampuan komunikasi matematis tulis sedang dan komunikasi matematis lisan sedang, siswa dengan kemampuan komunikasi matematis tulis rendah dan komunikasi matematis lisan sedang, serta siswa dengan kemampuan komunikasi matematis tulis rendah dan komunikasi matematis lisan rendah.
 
The necessity to improve students' mathematical communication skill indicates that a good and appropriate analysis is required to design effectively corrective measures. An analysis of mathematical communication skills could provide convinced descriptions related to students' mathematical communication abilities. Therefore, the purpose of this study was to describe students' mathematical communication abilities in solving numerical literacy questions. The participants of this study were six students of class VIII-B of SMP Negeri 1 Pasrujambe. The method used was a qualitative approach, specifically descriptive research. This study utilized written test sheets and oral test question sheets. This study was conducted through the stages of planning, executing, and finalizing stage. The data analysis technique was divided into three stages, namely data reduction, data presentation, and drawing conclusions. The results of the study obtained 4 categories, including students with moderate written mathematical communication skills and high oral mathematical communication, students with moderate written mathematical communication skills and moderate oral mathematical communication skills, students with low written mathematical communication skills and moderate oral mathematical communication  as well as students with low written mathematical communication skills and low oral mathematical communication skills.
Authors: Irayanti Irma , Sulkipani Sulkipani , Sapriya Sapriya
Published: May 2024

Penelitian ini bertujuan untuk menganalisis peran keteladanan guru dalam meningkatkan pemahaman nilai moral dan kesetaraan gender pada siswa Madrasah Ibtidaiyah kelas tinggi. Metode penelitian yang digunakan adalah penelitian kualitatif dengan pendekatan studi kasus. Data dikumpulkan melalui wawancara mendalam dengan guru Madrasah di kelas tinggi dan observasi partisipatif terhadap interaksi guru-siswa di kelas. Hasil penelitian menunjukkan bahwa keteladanan guru memiliki pengaruh yang signifikan dalam membentuk pemahaman siswa tentang nilai moral dan kesetaraan gender. Guru yang menjadi teladan dalam perilaku etis dan penghormatan terhadap kesetaraan gender dapat menginspirasi siswa untuk menginternalisasi nilai-nilai tersebut dalam kehidupan sehari-hari mereka. Selain itu, keteladanan guru juga memfasilitasi dialog terbuka tentang isu-isu moral dan kesetaraan gender di kelas, membantu siswa dalam memahami konsep-konsep ini secara lebih mendalam. Penelitian ini memberikan wawasan yang penting tentang bagaimana pendekatan keteladanan guru dapat digunakan sebagai strategi efektif dalam meningkatkan pemahaman nilai moral dan kesetaraan gender pada siswa Madrasah. Implikasi praktis dari penelitian ini adalah pentingnya peran guru sebagai model yang baik dalam membentuk karakter siswa dan mempromosikan kesetaraan gender dalam konteks pendidikan Madrasah Ibtidaiyah di kelas tinggi.
Von der Wägbarkeitsillusion zur unwägbaren Deliberation
Authors: O'Donnokoé Niclas
Published: May 2024

Teile der neuen Planungsdebatte setzen demokratische und gesellschaftliche Prozesse vorschnell voraus und integrieren diese theoretisch nicht genügend. Exemplarisch wird zunächst Ulrike Herrmanns postkapitalistische Transformationstheorie für die Reduzierung der Demokratie auf Zustimmung zu staatlichen Regulierungen kritisiert. Zweitens werden in Daniel Saros‘ Planwirtschaftsmodell rationalistische Vorannahmen aufgezeigt, die Bedürfnisse als messbar und individualistisch misskonzipieren. Im Gegensatz zu solutionistischen Gedankenspielen bleibt der Aufbau sozialistischer Deliberationspraktiken und Institutionen eine unwägbare, aber notwendige Aufgabe.
Geplante Freiheit
Authors: Koch Heiner
Published: May 2024

Oft wird Planwirtschaft als freiheitseinschränkend kritisiert und höchstens aufgrund von Effizienzüberlegungen gerechtfertigt. Jedoch lässt sich zeigen, dass Planwirtschaft die wichtige kollektive Freiheit realisiert, Wirtschaft bewusst gestalten zu können. Damit werden die Zwänge des Marktes als Quelle von Unfreiheit überwunden. Eine große Herausforderung besteht nun darin, die kollektive Freiheit der Planwirtschaft so zu gestalten, dass gleichzeitig individuelle Freiheiten optimal zur Geltung kommen. Hierbei wird es jedoch nicht vermeidbar sein, zwischen der Realisierung individueller und kollektiver Freiheiten abzuwägen.
The Future has Begun?
Authors: Bólya Boglárka , Balogh Zsuzsanna Zsófia
Published: May 2024

The Conference on the Future of Europe, launched by the European Union in 2021, aimed to engage citizens in a dialogue and serve as a key platform for EU institutions to discuss the future direction of the European Union. Hungary actively participated in the process, and the objective of our study is to shed light on the contributions of Hungarian citizens and the conclusions drawn from them. The study also explores the post-Conference landscape, tracing the evolution of the proposals arising directly or indirectly from the debates on the future of Europe, with a reflection to their possible implications on the revision of the EU Treaties.
Europe of Nations
Authors: Szent-Iványi István
Published: May 2024

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E-Learning influences on student learning satisfaction levels in terms of learner’s personalization
Authors: Veeramanickam M.R.M , Rodriguez Ciro , Carlos Navarro , Ulises Roman Concha , Pedro Lezama , Pandey Bishwajeet
Published: May 2024

This study examines student sentiment about their online classroom communities in terms of learner’s satisfaction when they are a combination of asynchronous and synchronous courses on the Internet. The results show that the design of an e-learning system is aimed at improving learners’ sense of connection in the virtual classroom. In particular, when creating the e-learning system, attention should be given to user experience, communication, organizing content, and personalization. In addition, a new evaluation technique based on machine learning (ML) has been proposed for evaluation through e-learning programs. Support Vector Machine (SVM), Neural Networks (NN), and Decision Trees (DT) are three ML techniques that are combined with multiple linear regressions to create prediction models as discussed with connectedness and learning for identifying the underlying relationships between the important digital to an e-Learning method and its estimator variables. The suitability of the rank-order forecast is assessed based on the susceptibility analysis. A metric is developed using both the usability ratings and the susceptible levels. The intensity index values are ordered and the most crucial usage patterns are found using a methodology similar to Pareto.
CSRM-framework for generating actionable knowledge for Social Security Schemes with a special focus on Ayushman Bharat
Authors: Kumar P. Sunil , Sarma R. Raghunatha
Published: May 2024

Data Mining applications to Social Security Schemes (SSS) have been one of the most interesting research areas in the recent past. In general, the benefits of SSS are availed by the beneficiaries at different geographical locations at different points in time, thus generating sequential patterns of interest for the stakeholders such as Government bodies or financial institutions to make effective decisions. Typically, SSS launched in the domains of the health sector involves temporal data, and the research in this domain is termed social security data mining (SSDM), where techniques such as sequential pattern mining, sequential rule mining, and association rule mining are in vogue. In this regard, we have proposed a novel data mining framework called the Combined Sequential Rule Mining framework (CSRM-Framework) which is effective in bringing out the actionable knowledge through the activity sequences pertaining to the beneficiaries. The proposed framework was implemented on Ayushman Bharat-Pradahn Manthri Jan Arogya Yojana (AB-PMJAY), a flagship social security scheme launched by the Government of India. We have also proposed a new interesting measure namely Combined Cumulative Lift (CCL) which has the property of estimating the ‘Interestingness’ effectively when activity sequences are combined with characteristic beneficiary data in the context of AB-PMJAY.
Truck drivers’ behaviour on road traffic crash involvement: A structural equation modeling approach
Authors: Taiwo Olusegun Austine , Hassan Sitti Asmah , Mohsin Rahmat , Mahmud Norashikin
Published: May 2024

Truck drivers significantly enhance global economic development due to the varying and bulk freight transport from one end to another. However, their involvement in road traffic crashes usually results in significant losses of lives and properties. There are sparse studies on the influence of driving behaviours of truck drivers on road traffic crashes, especially in developing countries like Nigeria. A total of 880 commercial truck drivers participated and completed the driver behaviour questionnaire. The structural equation modeling approach was used in the analysis to examine the influence of truck drivers’ behaviours on crash involvement in Nigeria. The results showed that driving violations, driving errors, and inattention errors were significantly associated with road traffic crash involvement, while positive driving behaviour was negatively significant. The analysis further revealed a significant relationship between crash involvement and sociodemographic factors, notably age and driving experience, whereas no significant association was observed with educational background. The findings suggest crash involvement among truck drivers can be reduced by addressing violation, error, and inattention, while positive behaviours should be encouraged through training programs and policy formulations.
Deep learning-based uncertainty estimation for accurate lung ultrasound image analysis
Authors: Thomas Anjelin Genifer Edward , Duela J. Shiny
Published: May 2024

Lung ultrasound imaging has become an important diagnostic tool for various respiratory conditions. Deep learning models have shown impressive results in classifying abnormalities in lung ultrasound images. However, these models typically provide deterministic predictions, disregarding the inherent uncertainty inherent in medical image analysis. This research paper introduces a novel approach to quantify uncertainty in deep learning models for accurate lung ultrasound image analysis. The proposed framework leverages a unique combination of Monte Carlo Dropout and Bayesian neural networks to provide reliable uncertainty estimates. By integrating these techniques, the model gains the ability to capture and represent the inherent uncertainty associated with medical image analysis. Extensive experiments conducted on a diverse dataset demonstrate the effectiveness and novelty of this approach. The inclusion of uncertainty estimation enhances classification accuracy and decision-making processes in lung ultrasound-based diagnosis, setting a new standard for the application of deep learning in medical image analysis. The novel methodology presented in this study has the potential to foster greater trust in AI-based diagnostic tools, promoting their integration into clinical practice and ultimately improving patient care and outcomes.
Catalyzing early intervention: A robust deep learning approach for detecting retinopathy of prematurity and plus diseases in infants
Authors: Saad Aws , Salih Nazar , Ksantini Mohamed , Hussein Nebras , Benhalema Donia , Abdulrazzaq Ali , Ahmed Sohaib
Published: May 2024

Retinopathy of prematurity (ROP) is a major cause of childhood blindness, requiring precise and prompt diagnosis. This paper presents a new method that uses deep convolutional neural network (DCNN) models—VGG19, ResNet101, and DenseNet169—to identify illnesses in ROP fundus images. 2776 pictures from the Al-Amal Eye Centre were included in the dataset, with an equal number of normal and plus illness cases. The models underwent thorough training and evaluation, with VGG19 emerging as the most accurate, with an impressive 97.07% accuracy. The study emphasizes the potential benefits of using these models to improve ROP screening programs by offering a consistent and effective method of diagnosis that can greatly impact clinical decision-making. This research enhances the field of neonatal ophthalmology and provides vital insights for enhancing patient care in managing ROP.
The use of artificial intelligence in the field of communication: A research on the perspectives of communication academics
Authors: Dolunay Ayhan
Published: May 2024

Artificial intelligence (AI) has become a very important concept in today’s digital communication age. With the development of technology, the use of AI has become widespread in many fields, including the field of communication. This article focuses on the relationship between communication and AI. In this context, the advantages, and disadvantages of using AI in the field of communication were examined. Data obtained from semi-structured in-depth interviews with communication academics were analysed with the content analysis technique. The findings underscore the increasing prevalence of AI usage in the field of communication. Positive aspects such as speed and efficiency, cost-effectiveness, and the ability to analyse large datasets easily were highlighted. However, negative impacts were also identified, including concerns related to privacy and security, the potential lag in emotional intelligence compared to humans, the risk of individuals losing their jobs or harbouring job loss concerns, and the possibility of applications that may not align with ethical principles. As AI continues to evolve in the future, the aim is to address privacy and security concerns, develop applications in alignment with ethical principles, and enhance capabilities to analyse larger datasets while achieving a more advanced emotional intelligence structure.
Linear discriminant analysis-based deep learning algorithms for numerical character handwriting recognition
Authors: Ghanimi Hayder M. A. , Alagusundari N. , Banda Jainabbi , Sengan Sudhakar , Somasekar J. , Thomas J. , Dadheech Pankaj
Published: May 2024

Information processing requires handwritten digit recognition, but methods of writing and image defects like brightness changes, blurring, and noise make image recognition challenging. This paper presents a strategy for categorizing offline handwritten digits in both Devanagari script and Roman script (English numbers) using Deep Learning (DL) algorithms, a branch of Machine Learning (ML) that uses Neural Networks (NN) with multiple layers to acquire hierarchical representations of input autonomously. The research study develops classification algorithms for recognising handwritten digits in numerical characters (0–9), analyzing classifier combination approaches, and determining their accuracy. The study aims to optimize recognition results when working with multiple scripts simultaneously. It proposes a simple profiling technique, Linear Discriminant Analysis (LDA) implementation, and a NN structure for numerical character classification. However, testing shows inconsistent outcomes from the LDA classifier. The approach, which combines profile-based Feature Extraction (FE) with advanced classification algorithms, can significantly improve the field of HWR numerical characters, as evidenced by the diverse outcomes it produces. The model performed 98.98% on the MNIST dataset. In the CPAR database, we completed a cross-dataset evaluation with 98.19% accuracy.
Deep learning techniques for predicting the customer lifetime value to improve customer relationship management
Authors: Alsharafa Nabeel S. , Madhubala P. , Lakshmi Moorthygari Sree , Rajapraveen K. N. , Kumar B.R. , Sengan Sudhakar , Dadheech Pankaj
Published: May 2024

Deep Learning (DL) forecasts Customer Lifetime Value (CLV) and optimises CRM in current research. ML models can be adapted and used alongside CRM methods to recognise customer behaviour anomalies amid numerous customer relationships, heterogeneous statistics, and time-sensitive data. This technique allows companies to maintain customers and improve profit, advertising, and confidence, divided by income. First, the study recommends a multi-output Deep Neural Network (DNN) model for predicting CLV. The suggested framework was measured with multi-output Decision Tree (DT) and multi-output Random Forest (RF) techniques on the same dataset. The study presents a multilayer supervised DL-based CLV prediction technique that enhances features on limited data, outperforming better-quality goods in marketing effectiveness and client lifetime value. The research explores using CLV prediction in personalized customer experiences, highlighting its potential to enhance CRM strategies by incorporating dynamic variables and current data for improved accuracy. The Deep Neural Network model has an acceptable error rate of MAPE of 10.3%, MSE of 11.6%, and RMSE of 12.29%, demonstrating reasonable complete error rates.