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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Jurnal Edukasi dan Penelitian Informatika (JEPIN) MUSTEK ANIM HA JUSIFO : Jurnal Sistem Informasi Jurnal Sisfokom (Sistem Informasi dan Komputer) Musamus Journal of Technology & Information Musamus Journal Of Research Information and Communication Technology Jurnal Teknologi Informasi, Komputer, dan Aplikasinya (JTIKA ) Jurnal Abdi Insani Indonesian Journal of Electrical Engineering and Computer Science Reswara: Jurnal Pengabdian Kepada Masyarakat Musamus Devotion Journal DEDIKASI PKM Tarjih Tropical Livestock Journal Journal of Information Systems and Technology (JISTech)
Lilik Sumaryanti
Jurusan Teknik Informatika, Fakultas Teknik, Universitas Musamus
Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Social Sciences Veterinary

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SISTEM INFORMASI PENDATAAN SISWA PADA SLB NEGERI ANIM-HA MERAUKE BERBASIS WEB Nikmatuziah, Indah; Chotimah, Chusnul; Sumaryanti, Lilik; Rahayu, Tri Kustanti
Musamus Journal of Technology & Information Vol 7 No 01 (2024): Musamus Journal of Technology & Information (MJTI)
Publisher : Universitas Musamus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35724/mjti.v7i01.6555

Abstract

Proses pendataan siswa di SLBN Anim Ha saat ini masih menggunakan Microsoft Excel dan belum memanfaatkan sistem informasi berbasis web. Hal ini mengakibatkan manajemen data yang kurang optimal, kesulitan dalam pengarsipan maupun pencarian data, serta penumpukan berkas fisik yang memerlukan ruang penyimpanan tambahan. Penelitian ini bertujuan untuk merancang dan membangun sistem informasi berbasis web yang dapat digunakan untuk mengarsipkan data secara elektronik serta menyajikan informasi sesuai kebutuhan pengguna.Metodologi penelitian meliputi tahap pengumpulan data, perancangan system menggunakan flowchart dan Data Flow Diagram (DFD). Sistem yang dibangun berbasis web memanfaatkan teknologi PHP dan basisdata MySQL. Hasil penelitian sistem yang dapat berfungsi sesuai dengan tujuan dan selain pengguna dalam hal ini admin SLB merasa terbantu dalam mendata dan memonitoring hasil belajar siswa dengan tingkat skor UAT sebanyak 99,8%.
Prediksi Lama Studi Mahasiswa dengan Pendekatan Case-Based Reasoning Amadi, Dwi Nor; Sumaryanti, Lilik; Silangen, Miske
JISTech : Journal of Information Systems and Technology Vol. 2 No. 1 (2025): Juni 2025
Publisher : Perhimpunan Ahli Teknologi Informasi dan Komunikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71234/jistech.v2i1.51

Abstract

Lama studi mahasiswa menjadi indikator penting dalam menilai efektivitas sistem pendidikan di perguruan tinggi. Prediksi lama studi yang akurat dapat membantu institusi akademik dalam memberikan bimbingan yang lebih optimal kepada mahasiswa agar dapat menyelesaikan studinya tepat waktu. Penelitian ini mengembangkan sistem prediksi lama studi mahasiswa menggunakan pendekatan Case-Based Reasoning (CBR) dengan metode similarity measure berbobot. Sistem ini membandingkan kasus baru dengan kasus lama berdasarkan lima variabel utama, yaitu rata-rata IPK, jumlah SKS per semester, status cuti akademik, status pekerjaan, dan keaktifan organisasi. Hasil penelitian menunjukkan bahwa kasus lama nomor 16 memiliki tingkat kemiripan tertinggi dengan kasus baru, dengan nilai 0.778, yang menunjukkan bahwa metode yang digunakan mampu mengidentifikasi mahasiswa dengan karakteristik akademik dan non-akademik yang paling mirip. Faktor akademik, seperti IPK dan jumlah SKS, memiliki bobot yang lebih tinggi dalam menentukan lama studi dibandingkan faktor non-akademik. Kesimpulan dari penelitian ini menunjukkan bahwa pendekatan CBR dapat digunakan sebagai alat pendukung keputusan akademik dalam memprediksi lama studi mahasiswa secara lebih akurat. Implementasi sistem ini dapat dikembangkan lebih lanjut dengan mengintegrasikan teknik machine learning guna meningkatkan performa prediksi.
Analisis Strategi Pengembangan Breeding Center Peternakan Sapi Potong dan Arah Kebijakan Berdasarkan Metode Force Field Analysis (FFA) di Merauke Nurcholis, Nurcholis; Irianto, Apri; Sumaryanti, Lilik; Rizal, Abdul; Yusuf, Mani
Tarjih Tropical Livestock Journal Vol. 5 No. 1 (2025): Tarjih Tropical Livestock Journal
Publisher : Program Studi Peternakan Fakultas Sains dan Teknologi Universitas Muhammadiyah Sinjai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47030/trolija.v5i1.861

Abstract

Pengembangan peternakan sapi skala rakyat di Merauke belum optimal, kondisi ini perlu diberikan solusi untuk meningkatkan potensi pengembanganya. Penelitian ini bertujuan untuk memproyeksikan strategi pengembangan peternakan skala rakyat di Kabupaten Merauke melalui metode force field analysis untuk mengetahui arah kebijakan yang tepat. Penelitian dilakukan pada peternakan rakyat sebanyak 60 peternak di tiga distrik yaitu Sota, Semangga dan Kurik. Data diperoleh dari Focus group Discussion (FGD) dan wawancara kepada peternak secara detail dari narasumber inti seperti kepala dinas peternakan dan kesehatan hewan Kabupaten Merauke. Data dianalisis menggunakan metode Force Field Analysis (FFA) berdasarkan ketentuan faktor pendorong (D) dan faktor penghambat (H). Hasil penelitian yang diperoleh bahwa faktor pendorong pengembangan sektor peternakan adalah sumber daya pakan, adanya penerapan teknologi reproduksi, pasar, kemampuan adaptasi ternak, harga jual stabil, dan kelembagaan peternak. Faktor penghambat utama yang diperoleh dari penelitian ini adalah sumber daya manusia (SDM) peternak, modal usaha, penyakit ternak, mitra peternakan dan pengelolaan limbah kotoran sapi. Kesimpulan penelitian menunjukkan bahwa faktor pendorong (D) memiliki nilai lebih kecil dibandingkan dengan faktor penghambat (H), oleh sebab itu rekomendasi kebijakan yang diusulkan adalah menguatkan sistem kelembagaan breeding di setiap distrik, pembentukan balai bibit ternak unggul di Merauke, agar ketersediaan bibit semen beku dan program inseminasi buatan dapat dilakukan sepanjang tahun.
PENERAPAN TEKNOLOGI INSEMINASI BUATAN MENGGUNAKAN SEMEN SEXING BAGI PETERNAK BREEDING SAPI DI SIDOMULYO MERAUKE Nurcholis, Nurcholis; Sumaryanti, Lilik; Salamony, Syetiel Maya
Jurnal Abdi Insani Vol 12 No 9 (2025): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v12i9.2851

Abstract

Cattle breeders in Merauke are generally still on a traditional scale with low livestock productivity. The application of reproductive technology in the form of artificial insemination provides opportunities and hope for breeders to improve cattle quality. Currently, cattle breeding cannot be appropriately implemented due to the low availability of superior bulls. In addition, breeders prefer cattle offspring with the sex they desire (male or female), which has not been realised. Therefore, the purpose of community service for cattle breeders in Merauke is to implement research results in the form of semen sexing technology. The use of semen sexing can help breeders determine livestock goals. The extension method and application of artificial insemination using semen sexing was carried out by involving 4 groups of breeders in Merauke, with a total of 40 breeders. The results of the breeder's skills after participating in training and mentoring on estrus detection reached 83.07%. The application of artificial insemination using semen sexing received a response of 97.5% very satisfied, and 2.5% satisfied response. The success of AI reached 88.76%. The conclusion is that the implementation of artificial insemination has a positive and beneficial impact on cattle farming groups in Merauke.
Penerapan Metode Multi Attribute Utility Theory (MAUT) dalam Memberikan Rekomendasi Pemenang Lomba MTQ Lusia Lamalewa; Lilik Sumaryanti
JUSIFO : Jurnal Sistem Informasi Vol 7 No 1 (2021): June
Publisher : Program Studi Sistem Informasi, Fakultas Sains dan Teknologi, Universitas Islam Negeri Raden Fatah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19109/jusifo.v7i1.8450

Abstract

Musabaqah Tilawatil Qur'an is a competition in the field of syiar ’s content. The decision of the winners in MTQ competition was determined by the judges, especially in Merauke district, is currently carried out by the judges of each field, with the calculation of the value based on predetermined criteria. However, in its assessment, it has not applied priority to the criteria used to determine the winner. The results of the assessment given have not used data analysis methods that can be used to process assessment data into information that will support decision making in determining the winner of the competition. In order to reduce subjectivity in the assessment of participants, a decision support system is needed that has implemented a decision-making method. This study aims to build a decision support system using the Multi Attribute Utility Theory (MAUT) method. The results on the implementation of this method in a decision support system using an accuracy test indicated an accuracy of 95.6%. The accuracy value indicates that the MAUT method is an accurate data analysis method in analyzing the assessment data for determining the winner of the MTQ competition.
Classification of clove types using convolution neural network algorithm with optimizing hyperparamters Firman Tempola; Retantyo Wardoyo; Aina Musdholifah; Rosihan Rosihan; Lilik Sumaryanti
Bulletin of Electrical Engineering and Informatics Vol 13, No 1: February 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v13i1.5533

Abstract

This study uses clove imagery by classifying it according to ISO 2254-2004 standards: whole, headless, and mother clove. This type of clove will affect the quality and economic value when it has been dried. For this reason, it is necessary to take a first step to control cloves' quality. One way is to classify it from the start. This research will utilize the convolution neural network algorithm and compare it with model transfer learning and modified VGG16 architecture on clove images. In addition, research is also looking for the most optimal hyperparameter. The results of this study indicate that the application of convolution neural network (CNN) to clove images obtains an accuracy value of 84% using a hyperparameter of 50 epochs, a learning rate of 0.001, and a batch size of 16. Meanwhile, for the application of transfer learning VGG16, Resnet50, MobileNetV2, InceptionV3, DensetNet151, and modified VGG16 have respectively each of the highest accuracy including 95.70%, 76.15%, 96.89%, 98.07%, 98.96%, and 99.11%.
Co-Authors Abdillah Hidayah Maharani Abdul Rizal, Abdul Aina Musdholifah Apri Irianto Apri Irianto Chusnul Chotimah Demina Kristiani Hutabarat Dirwan Muchlis Jamaludin Jamaludin Kusuma, Dedy Hidayat Lamalewa, Lusia Lusia Lamalewa Lusia Lamalewa Mani Yusuf Mochammad Imron Awalludin Muhammad Najibulloh Muzaki Nikmatuziah, Indah Nor Amadi, Dwi Nurcholis Nurcholis Nurcholis Nurcholis Nurcholis Nurcholis Nurcholis Nurcholis Rahayu, Tri Kustanti Retantyo Wardoyo rosihan, rosihan Rosmala Widijastuti Rosmala Widijastuti Salamony, Syetiel Maya Silangen, Miske Sri Hartati Stanly H Dolpies Loppies Syaiful Nugraha Syetiel Maya Salamony Teddy Istanto Tempola, Firman Yolanda Gebze