bluuebunny/crossref_metadata_2025_split huggingface dataset:
Forage Diversification of Parent Bali Cattle in Simantri Group 733 Manah Cika Guna Bhakti, Baru Village Tabanan Bali Indonesia
Authors: Mardewi Ni Ketut , Len Candyrine Su Cui , Daud Nur Hardy Abu , Suariani Luh , Kaca I Nyoman , Tonga Yan 
Published: May 2022

Simantri is agricultural integration activity in Bali, Indonesia covering food crops, horticulture businesses, animal husbandry, fisheries, plantations, and forestry crops in one area/activity location. The Simantri Group 733 Manah Cika Guna Bhakti Desa Baru has been formed since 2009, with available feed sources in the form of grasses that grow naturally (nature grass) and some forage plants such as gamal (Gliricidia sepium) and agricultural crop waste. Forage is the main feed for ruminants, which can be in the form of grasses or fodder plants such as legumes. Partners lack knowledge in the field of feed, especially learning about types of forage that are superior in quantity and quality, and are willing to increase the variety of quality forage sources available throughout the season. Partners also want to get special forage seeds and how to cultivate them. It is necessary to conduct action research for Simantri 733 Manah Cika Guna Bhakti Livestock Farmer Group in Banjar Dinas Baru, Baru Village, Marga District, Tabanan Regency, Bali, to help solve problems faced by partners by providing knowledge about superior types of forage, the introduction of technology and skills in cultivation such as land preparation, seed selection, planting, and care. This international collaboration activity was carried out well and smoothly on October 30, 2021, attended by 20 members of the Simantri group. The method used is the method of extension, active participation of farmers, and exploratory. Based on the evaluation results, the Simantri group has recognized several superior forages and has mastered the technology for the cultivation of superior types of forage. Mastery of technology reaches 80%, so it is necessary to provide further assistance to the group during the first and second cutting and preservation techniques so that the rainforest remains of good quality
Pengendalian Persediaan Suplemen Kesehatan Pada Masa Pandemi Dengan Menggunakan Metode ABC,EOQ,ROP Di Apotek Karang Langit Lamongan Tahun 2021Pe
Authors: Hamidah Mila Apriani , Nasyanka Anindi Lupita , Yunitasari Norainny 
Published: May 2022

The COVID-19 outbreak has greatly impacted all sectors, one of which is the increasing number of requests for health supplements to strengthen the immune system from viral attacks. This causes frequent shortages of health supplement stocks in several pharmacies. The purpose of this study was to analyze the implementation of health supplement inventory planning control at Apotek Karang Langit Lamongan by comparing the results of secondary data using the ABC, EOQ, ROP methods. This research is observational with quantitative descriptive data analysis. Data collection is retrospective and the research instrument is a data collection sheet. The results showed that there were 20 types of health supplements in group A (20%) with an income value of Rp. 35,203,380 (69.24%) of the total income. Group B consisted of 33 species (30%) with an income value of Rp. 10,469,200 (20.59%) of the total income. Group C consisted of 55 species (50%) with an income value of Rp. 5,167,585,8 (10,17%) of the total income. Health supplement control is prioritized in group A. In the calculation of EOQ group A starting from 1-152 items and ordering frequency in 3 months as much as 5-23 times, for group B starting from 1-210 items with ordering frequency between 3-5 times, group B starts from 1-210 items with ordering frequency between 3-5 times, C ranging from 1-160 items with a frequency of orders between 1-3 times. ROP group A starts from 1-58 items, for group B starts from 0-52 items and in group C starts from 0-22 items. Therefore, the results of the ABC method analysis, EOQ, SS, ROP calculations can be used to control the planning of health supplement procurement at Karang Langit Pharmacy.

Keywords: control, health supplement planning, ABC analysis, EOQ, SS, ROP.
Uji Efektivitas dan Organoleptik Ekstrak Daun Kirinyuh (Chromolaena odorata) Sebagai Insektisida Alami Kutu Rambut (Pediculus humanus capitis) Dengan Variasi Konsentrasi
Authors: Sulistiyana Sulistiyana , Riawati Riawati , Suhirman Suhirman 
Published: May 2022

Pediculosis capitis (infeksi kutu rambut) adalah permasalahan yang sering terjadi pada anak usia 3-11 tahun di dunia, karena dapat mengakibatkan penyakit mengerikan seperti Tinea capitis. Cara yang sering dilakukan masyarakat dalam mengurangi kutu rambut yaitu menggunakan insektisida berbahaya tanpa melihat efek samping yang ditimbulkan. Oleh karena itu dicari cara alternatif dalam mematikan kutu rambut berupa insektisida alami dari ekstrak daun kirinyuh. Tujuan dari penelitian ini yaitu untuk mengetahui efektivitas, tingkat kesukaan konsumen, dan efek iritasi ekstrak daun kirinyuh yang dijadikan sebagai insektisida alami terhadap mortalitas kutu rambut. Penelitian ini menggunakan metode eksperimental dengan variasi konsentrasi ekstrak 2%, 4%, 6%, dan 8% untuk dilakuan uji efektivitas, uji oragnoleptik dan uji iritasi. Hasil penelitian menunjukkan bahwa ekstrak daun kirinyuh yang paling efektif digunakan sebagai insektisida alami kutu rambut yaitu ekstrak daun kirinyuh dengan konsentrasi 6%. Hasil parameter uji menunjukkan nilai efektivitas 6% ekstrak daun kirinyuh dalam membasmi kutu rambut sebesar 92.5%, dengan hasil uji organoleptik aromadan warna berturut-turut mendapat skor 4.05 dan 4.35. hasil uji iritasi menunjukkan tidak adanya iritasi.
The Admission Decision Support System for Muhammadiyah Student Association Cadres Using the Profile Matching Method
Authors: Umar Rusydi , Yudhana Anton , Dernata Jaka 
Published: May 2022

Technological advances are beneficial for humans in doing work, one of which is that technology can help humans make decisions. Muhammadiyah Student Association is a large organization. The establishment of this organization continues to have progress to make many students join the organization. With many students who want to join, the organization has difficulty determining the eligibility of each prospective member who wants to join because the organization must pay attention to factors that can support the assessment in the acceptance of its members. This research aims to conduct the selection process of organizational members using profile matching methods to help the organization solve the problems faced by making the right decision. Then the result obtained is a decision that follows the organization's expectations in the selection of new prospective members. The assessment used in this method consists of four aspects, two of which are core factors and two other aspects are secondary factors. The data processing results will become a ranking format so that this method can also determine the best candidate members based on ranking.
Classification of Customer Loans Using Hybrid Data Mining
Authors: Mandala Eka Praja Wiyata , Rianti Eva , Defit Sarjon 
Published: May 2022

At this time, loans are one of the products offered by banks to their customers. BPR is an abbreviation of Bank Perkreditan Rakyat. BPR is one of the banks that provide loans to their customers. The problem that occurs is that the number of loans given to customers is often not on target and does not meet the criteria. We propose a hybrid data mining method which consists of two phases, first, we will cluster the eligibility of customers to be given a loan using the k-means algorithm, second, we will classify the loan amount using data from the clustering of eligible customers using k-nearest neighbors. As a result of this study, we were able to cluster 25 customers into 2 clusters, 10 customers into the "Not Feasible" cluster, 15 customers into the "Feasible" cluster. Then we also succeeded in classifying customers who applied for new loans with occupation is Entrepreneur, salary is ≥ IDR 5000000, loan guarantees Proof of Vehicle Owner, account balance is < IDR 5000000 and family members is ≥ 4. And the results, classified as Loans with a small amount. We obtained the level of validity of the data testing of each input variable to the target variable reached 97.57%.
Model Manajemen Kurikulum Pendidikan Berbasis Nilai-Nilai Keagamaan
Authors: Suyitno Margiyono 
Published: May 2022

Penelitian ini bertujuan menganalisis dan mendeskripsikan model manajemen kurikulum pendidikan berbasis nilai-nilai keagamaan di SDIT Nur Hidayah Surakarta dan SDIP Al Madinah Sukoharjo yang meliputi: model perencanaan, implementasi dan model evaluasi kurikulum. Penelitian menggunakan pendekatan kualitatif, jenis studi kasus dengan rancangan studi multisitus. Teknik pengambilan data dengan wawancara, observasi partisipan, dan studi dokumentasi. Pemeriksaan keabsahan data dengan triangulasi.Teknik analisis data meliputi: pengumpulan data, reduksi data, penyajian data, dan penarikan data. Analisis data dilakukan dengan dua tahap yaitu analisis data tunggal dan analisis data lintas situs. Hasil penelitian menunjukkan: (1) Konsep perencanaan kurikulum pendidikan berbasis nilai-nilai keagamaan dikembangkan konsep ISNaCRVa (Integration system nasional curriculum and religious value). Pendekatan integrasi dengan tahapan; (a) membentuk tim pengembang kurikulum, (b) analisis kurikulum nasional dan nilai-nilai keagamaan, (c) integrasi organisasi nilai-nilai keagamaan dalam topik-topik materi kurikulum nasional, (d) menentukan struktur dan muatan kurikulum berbasis karakter(life skill); (e) mengembangkan disain rencana program pembelajaran tematik integrative dalam silabus dan RPP, (f) review/peninjaun kurikulum dan revisi (g) Membuat standar penilaian danpelaporan. (2) Implementasi kurikulum menerapkan model Fidelity, mutual adaptivedan Enachment, dengan menerapkan (pembelajaran tematik integrative berbasis multidisiplin dan transdisipliner dengan menempatkan nilai-nilai keagamaan sebagai hudan. dengan strategi; a) menerapkan fullday school, b) guru berbasis keagamaan, c) pembelajaran agama mempunyai waktu yang banyak, d) pembelajaran di dalam kelas dandi luar kelas, e) team work yang baik dan profesional, f) adanya pembinaan, pelatihan, dan workshop, serta daurah-daurah, g) koordinasi yang baik, h) melibatkan orang tua dalam pembelajaran, i) menerapkan MBS, j) memaksimalkan fungsi komite sekolah, k) adanya jalinan kebersamaan/kekeluargaan, l) memanfaatkan media sosial, m) sarana dan prasarana berbasis nilai keagamaan, dan n) suasana kondusif, (3) Model evaluasi kurikulum pendidikan berbasis nilai-nilai keagamaan adalah model CIPOO (Contex, Input, Proces, Out-put and Out-comes).
Analisis Strategi Pemasaran dalam Meningkatkan Bisnis Properti Subsidi di Perumahan KD Asri Jombang
Authors: Ruswidia Sari Ekanesti , Qomariah Siti Nurul 
Published: May 2022

Penelitian ini bertujuan untuk mengetahui kekuatan, kelemahan, peluang, dan ancaman yang ada pada strategi pemasaran di perumahan subsidi KD ASRI Jombang. Metode penelitian ini menggunakan analisis SWOT dan menggunakan metode pendekatan kualitatif. Hasil dari analisis menunjukkan bahwa variabel-variabel yang menjadi kekuatan adalah harga yang jauh lebih murah dan juga kualitas bangunan yang bagus dan sangat memuaskan sehinggaÂ mampu bersaing dengan perumahan lainnya. Pada masa sekarang ini dan pada masa yang akan datang dipastikan jumlah dari hasil penjualan perumahan semakin meningkat dari tahun-ketahun, ini dikarenakan keinginan masyarakat akan tempat tinggal sangat banyak sehingga permintaan perumahan semakin meningkat. Tidak hanya itu,Â jumlah penduduk yang semakin meningkat dan minimnya lahan kosong juga salah satu alasan masyarakat lebih memilih perumahan untuk dijadikan tempat tinggal yang efektif dan efisien. Pemasaran dalam dunia bisnis persaingannya sangatlah ketat dengan semakin meningkat dan berkembangnya dunia bisnis modern di zaman sekarang ini. Sehingga, jumlah pembisnis semakin bertambah yang bertujuan untuk memenuhi kebutuhan dan keinginan konsumen baik berupa barang atau jasa, para pelaku bisnis memiliki tantangan untuk mendapatkan pasar yang ada yaitu dengan meningkatkan kualitas bangunan dengan cara memilih bahan atau material yang kualitasnya bagus sehingga menciptakan bangunan yang bagus dengan kualias yang bagus juga sehingga konsumen puas dengan perumahan yang ditawarkan. Jika pembisnis memberikan harga khusus juga kepada pelanggan yang membeli sebuah perumahan berdasarkan beberapa type yang dikhususkan itu juga akan meningkatkan jumlah minat dan permintaan konsumen.
PERANCANGAN ALAT UKUR pH DIGITAL BERBASIS MIKROKONTROLER ATMega32u4 MENGGUNAKAN SENSOR pH METER V1.1
Authors: Muslimin Abdul Muis , Karim Karim , Tria Winarsih Tria Winarsih 
Published: May 2022

Telah dilakukan penelitian untuk membuat alat ukur pH digital berbasis Arduino Leonardo yang terintegrasi dengan pengendali mikrokontroler Atmega32u4 dan menggunakan pH meter v1.1 sebagai sensor pH serta LCD jenis 16 x 2 untuk menampilkan nilai pH larutan, dimana hasil pengukuran pH yang diperoleh mempunyai ketelitian yang lebih baik jika dibandingkan dengan alat ukur pH analog. Dalam proses pengujian alat dilakukan perbandingan antara alat ukur pH digital yang telah dibuat, dengan alat ukur pH standar. Dalam perancangan sketch, digunakan metode regresi polynomial. Dengan menggunakan metode regresi polynomial orde 2, perbandingan antara alat ukur pH berbasis Arduino dan alat ukur pH standar mempunyai selisih nilai pH antara 0.563 hingga 0.991. Perbandingan nilai pengukuran alat ukur pH berbasis Arduino dan alat ukur pH standar pada larutan buffer, secara berurutan diperoleh selisih antara 0.21 hingga 0.78 dan 0.51 hingga 0.88.
Penerapan Forward Chaining dan Certainty Factor Pada Sistem Pendeteksi Penyakit Hewan Qurban Berbasis Android
Authors: Nuraini Nabila Tiara , Aldisa Rima Tamara , Fitri Iskandar 
Published: May 2022

Qurbani worship is a worship of the slaughter of livestock carried out on the feast of Eid al-Adha. In Indonesia the dominant livestock used for qurban worship is goats and cows, qurban animals that are allowed to be slaughtered also have conditions ranging from age and most importantly their health. This research is done so that goats and cows that will be slaughtered for qurban worship are free from existing diseases. Some of the problems in the system that will be built is the lack of understanding of the sellers of animals qurban about the diseases suffered by goats and cows from the symptoms experienced by these animals. This study used the method of forward chaining and certaity factor in solving the problems that exist in goat and cow animals, to produce a conclusion in detecting diseases in these animals based on existing symptoms. The process of designing the application of disease detection expert systems in goat and cow animals uses the java programming language and uses a text editor android studio. The authors also tested the comparison of the combination method between forward chaining and certainty factor with the forward chaining and naïve bayes methods that received the highest percentage value results, namely in the forward chaing and certainty factor methods with a value of 9.553%. in scab disease suffered by goat animals and a value of 9.509%in bloating disease suffered by cow animals. Getting the final result on the calculation of detection of goat disease by 91,264% with indicated suffering from scab disease and also in cow animals by 90,432% indicated to suffer from bloating disease, both the final results of the calculation of the type of disease suffered by goats and cows respectively seen from the symptoms that have been inputted by the user.
Clustering Kebutuhan Makanan untuk Meminimasi Standar Deviasi Angka Kebutuhan Gizi Menggunakan Algoritma K-Means dan K-Medoids
Authors: Anjariansyah Resha , Triayudi Agung 
Published: May 2022

To prevent nutritional problems is balanced nutrition education, which consists of the four principles of a varied diet, a clean lifestyle, physical activity and regular weight monitoring. The diversity of food at each meal is visualized as the contents of my plate which consists of one third of staple foods, one third of side dishes, and one third of vegetables and fruit. In determining balanced nutrition, the principle of Fill My Plate is used, which consists of staple foods, side dishes, vegetables and fruit. This study aims to group or cluster the Indonesian Food Ingredients Table in 2017 using the k-means and k-medoids algorithms. Data from food types that have been summarized at TKPI in 2017 are divided into 4 appropriate categories, namely fruit food clustering (Klanpenres_0), staple food clustering (Klanpenres_1), side dishes clustering (Klanpenres_2), vegetable clustering (Klanpenres_3). In the results of this study the results of clustering using the k-means algorithm that there are 109 for (Klanpenres_0), 323 for (Klanpenres_1), 166 for (Klanpenres_2), 105 for (Klanpenres_3). While the results of clustering using the k-medoids algorithm are 107 for (Klanpenres_0), 325 for (Klanpenres_1), 166 for (Klanpenres_2), 107 for (Klanpenres_3). Meanwhile, for the standard deviation results from clustering using the k-means algorithm, there are 3 categories that exceed the recommended standard for the 40 percent Nutritional Adequacy Ratio, and 1 category that is less than the standard. And the results of the standard deviation of clustering using the k-medoids algorithm, there are 4 categories that are superior to the recommended standard for the Nutrition Adequacy Rate.
SISTEM PREDIKSI KEPRIBADIAN MANUSIA BERDASARKAN STATUS MEDIA SOSIAL MENGGUNAKAN SUPPORT VECTOR MACHINE
Authors: Ronando Elsen , Yasa Muhammad , Indasyah Enny 
Published: May 2022

Currently, social media is a forum for exchanging information widely used by the public, such as Facebook and Twitter. Social media users exchange information to find out the condition of one another. Some companies use social media to explore the personality potential of prospective employees to be recruited. However, to dig up this information takes a very long time because the company has to open prospective employees' social media one by one. To dig up information automatically, a personality detection system is needed from social media users. This study develops a person's personality prediction system based on social media status using the support vector machine. The data sets evaluated in this study were 300 Facebook social media status data and 2067 Twitter social media status data. Based on the evaluation results, we obtained a high level of accuracy in detecting a person's personality based on social media status, namely 100% for Facebook user status and 99.3% for Twitter user status.Keywords: Personality, Social Media, Support Vector Machine, Facebook, Twitter ABSTRAKSaat ini, media sosial merupakan salah suatu wadah pertukaran informasi yang banyak digunakan oleh masyarakat, seperti Facebook maupun Twitter. Pengguna media sosial saling bertukar informasi untuk mengetahui kondisi satu dengan lainnya. Beberapa perusahaan memanfaatkan media sosial untuk menggali potensi kepribadian dari calon pegawai yang akan direkrut. Namun, untuk menggali informasi tersebut memerlukan waktu yang sangat lama karena perusahan harus membuka media sosial dari calon pegawai satu per satu. Agar dapat menggali informasi secara otomatis, maka diperlukan sistem deteksi kepribadian dari pengguna media sosial. Penelitian ini mengembangkan sistem prediksi kepribadian seseorang berdasarkan status media sosial menggunakan metode Support Vector Machine. Set data yang dievaluasi dalam penelitian ini yaitu 300 data status media sosial Facebook dan 2067 data status media sosial Twitter. Berdasarkan hasil evaluasi yang dilakukan diperoleh tingkat akurasi yang tinggi dalam mendeteksi kepribadian seseorang berdasarkan status media sosial, yaitu 100% untuk status pengguna Facebook dan 99,3% untuk status pengguna Twitter. Kata Kunci: Kepribadian, Media Sosial, Support Vector Machine, Facebook, Twitter.
PENENTUAN RUTE OPTIMAL PADA DISTRIBUSI BARANG MENGGUNAKAN ALGORITMA GREEDY (Studi Kasus : UD.XYZ)
Authors: Januantoro Ardy , Septiyanto Abdullah Faqih , Hapantenda Andrey Kartika Widhy 
Published: May 2022

The distribution of goods is an important thing that must consider in the continuity of a business. The better the distribution of goods will have an impact on increasing customer satisfaction. UD XYZ is a distributor of motorcycle masks in Surabaya. The distribution route, which is carried out every day, does not have a fixed route selection reference and is constantly changing without a clear basis. The distribution process often experiences delays in the delivery of goods. For this reason, optimization is needed in determining the optimal distribution route to save time, costs, and other operations. A greedy algorithm is one of the algorithms used to determine the optimal solution. The greedy algorithm is an algorithm that follows a problem-solving heuristic making a locally optimal choice at each stage in the hope of finding a global optimal. With the implementation of the greedy algorithm, this research produces an optimal distance and can provide benefits to UD XYZ.Keywords: Distribution of goods, optimization, distribution routes, greedy algorithm ABSTRAKDistribusi barang merupakan hal penting yang harus diperhatikan pada keberlangsungan sebuah bisnis. Semakin baik distribusi barang maka akan berdampak terhadap meningkatnya kepuasan pelanggan. UD XYZ merupakan salah satu distributor masker motor di Surabaya. Rute distribusi yang setiap hari dilakukan tidak memiliki acuan pemilihan rute yang tetap dan selalu berubah – ubah tanpa ada dasar yang jelas, sehingga proses distribusi sering mengalami kendala keterlambatan pengiriman barang. Untuk itu diperlukan optimasi dalam menentukan rute distribusi yang optimal agar lebih menghemat waktu, biaya dan operasional lainnya. Algoritma greedy merupakan salah satu algoritma yang digunakan untuk menentukan solusi optimal. Algoritma greedy adalah algoritma yang mengikuti heuristik pemecahan masalah membuat pilihan optimal lokal pada setiap tahap dengan harapan menemukan optimal global Pada penelitian ini, pemilihan lokal digambarkan dengan node – node yang diterapkan sebagai lokasi distribusi barang kemudian memilih jalur terbaik antar lokasi distribusi. Dengan implementasi algoritma greedy, penelitian ini mengasilkan jarak yang optimal dan mampu memeberikan keuntungan pada UD XYZKata Kunci: Distribusi barang, optimasi, rute distribusi, algoritma greedy