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All Journal JURSIMA (Jurnal Sistem Informasi dan Manajemen) Literacy : International Scientific Journals of Social, Education, Humanities JURSIMA Indonesian Journal on Data Science
Syarief Hidayatullah
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Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Library & Information Science Social Sciences

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SALES SYSTEM INFORMATION AT THE SALDAS JAKARTA MEAT SHOP USING THE SWOT METHOD Fajar Masya; Syarief Hidayatullah; Martin Ronaldo Yosef; Anrico Ananda Putra
JURSIMA (Jurnal Sistem Informasi dan Manajemen) Vol 10 No 1 (2022): Jursima Vol. 10 No. 1, April Tahun 2022
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v10i1.354

Abstract

Saldas Jakarta Meat Shop is a business that is engaged in selling frozen meat and frozen food consisting of beef, mutton, chicken, fish, and frozen processed products with well-known brands. Saldas Jakarta Meat Shop has problems in the sales process that only relies on offline transactions. Then the recording of product purchase orders, product sales reports, product stock reports, to income reports are still done manually, which results in report documentation not being properly structured so that business owners and employees experience difficulties during the process of finding the required data. The information system for selling frozen meat and frozen food is expected to help overcome these problems with the aim of increasing effectiveness and efficiency in managing business operations. Seeing the situation and conditions in the Saldas Meat Shop business in Jakarta, business process analysis and system analysis were carried out using the SWOT method and system development using the Waterfall method.
SALES SYSTEM INFORMATION AT THE SALDAS JAKARTA MEAT SHOP USING THE SWOT METHOD Fajar Masya; Syarief Hidayatullah; Martin Ronaldo Yosef; Anrico Ananda Putra
JURSIMA (Jurnal Sistem Informasi dan Manajemen) Vol 10 No 1 (2022): Jursima Vol. 10 No. 1, April Tahun 2022
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v10i1.354

Abstract

Saldas Jakarta Meat Shop is a business that is engaged in selling frozen meat and frozen food consisting of beef, mutton, chicken, fish, and frozen processed products with well-known brands. Saldas Jakarta Meat Shop has problems in the sales process that only relies on offline transactions. Then the recording of product purchase orders, product sales reports, product stock reports, to income reports are still done manually, which results in report documentation not being properly structured so that business owners and employees experience difficulties during the process of finding the required data. The information system for selling frozen meat and frozen food is expected to help overcome these problems with the aim of increasing effectiveness and efficiency in managing business operations. Seeing the situation and conditions in the Saldas Meat Shop business in Jakarta, business process analysis and system analysis were carried out using the SWOT method and system development using the Waterfall method.
Juridical Analysis of Violation of Core-Plasma Partnership Agreement of Palm Oil Plantation Between PT Hardaya Inti Plantation and Plasma Amanah Farmers Cooperative (Case Study of KPPU Decision No. 02/KPPU-K/2023) Syarief Hidayatullah; Surahman Surahman; Muhammad Nurcholis Alhadi; Elviandri Elviandri
LITERACY : International Scientific Journals of Social, Education, Humanities Vol. 4 No. 1 (2025): April : International Scientific Journals of Social, Education, Humanities
Publisher : Badan Penerbit STIEPARI Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56910/literacy.v4i1.1999

Abstract

The inti-plasma partnership scheme in the oil palm plantation sector aims to create a mutually beneficial relationship between large companies (nucleus) and smallholders (plasma). However, in practice, there are often inequalities that cause plasma farmers to lose control over their businesses. This research analyzes the violation of the partnership agreement between PT Hardaya Inti Plantations (PT HIP) and Koperasi Tani Plasma Amanah as decided in KPPU Decision No. 02/KPPU-K/2023. The focus of the analysis includes the forms of juridical, financial, and operational control that PT HIP exercised over the cooperative, as well as the legal implications based on Jeremy Bentham's theories of civil law, competition, and justice. The results show that PT HIP has abused its dominant position by fully controlling the partnership agreement, limiting cooperatives' access to decision-making, and implementing non-transparent financial practices. KPPU has imposed administrative sanctions in the form of an agreement addendum obligation, an independent audit, and a fine of Rp1,000,000,000.00. However, an evaluation of this decision indicates that the sanction has not fully provided substantive justice for plasma farmers, given the absence of a direct compensation mechanism. Therefore, there is a need to strengthen regulations and implement more effective monitoring and law enforcement mechanisms to ensure fairer and more sustainable partnership relationships in the oil palm plantation industry in Indonesia.
Prediksi Rekomendasi Buku Berdasarkan Riwayat Peminjaman Menggunakan Collaborative Filtering Pada Perpustakaan Unjaya: Penggunaan Item-Based Collaborative Filtering untuk Meningkatkan Layanan Perpustakaan Digital Mita Aprilia Damayanti; Dini Siskasari; Syarief Hidayatullah; Rois Ali Fernandi; Irmma Dwijayanti
INDONESIAN JOURNAL ON DATA SCIENCE Vol. 3 No. 1 (2025): Indonesian Journal On Data Science
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat Universitas Achmad Yani Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30989/ijds.v3i1.1570

Abstract

Perpustakaan Universitas Jenderal Achmad Yani Yogyakarta (Unjaya) berperan penting dalam mendukung ekosistem pendidikan tinggi melalui penyediaan layanan informasi. Untuk meningkatkan relevansi dan kenyamanan layanan, penelitian ini bertujuan memprediksi rekomendasi buku berdasarkan riwayat peminjaman menggunakan metode Item-based Collaborative Filtering. Metode yang digunakan melibatkan pemrosesan data peminjaman dan koleksi buku untuk membentuk matriks kesamaan antar item menggunakan adjusted cosine similarity. Rekomendasi diberikan berdasarkan kemiripan buku dengan yang pernah dipinjam oleh pengguna. Model dievaluasi menggunakan Mean Absolute Error (MAE), dengan hasil menunjukkan nilai MAE sebesar 0.0024 dan 0.0047. Nilai MAE yang mendekati 0 ini menunjukkan bahwa model memiliki tingkat kesalahan prediksi yang sangat rendah, sehingga performa sistem dapat dikategorikan baik. Hasil penelitian membuktikan bahwa sistem mampu menghasilkan rekomendasi yang relevan, mempercepat pencarian informasi, dan mendukung peningkatan kualitas layanan perpustakaan di lingkungan perguruan tinggi. Penelitian ini diharapkan dapat berkontribusi terhadap pengembangan layanan informasi berbasis teknologi di perpustakaan pendidikan tinggi.
Pengembangan Aplikasi Mobile Saffco Skin untuk Edukasi Perawatan Wajah dengan Sistem Rekomendasi Menggunakan Algoritma KNN : Pengembangan Aplikasi Mobile Saffco Skin untuk Edukasi Perawatan Wajah dengan Sistem Rekomendasi Menggunakan Algoritma KNN Mita Aprilia Damayanti; Dini Siskasari; Syarief Hidayatullah; Rois Ali Fernandi; Herdiesel Santoso
INDONESIAN JOURNAL ON DATA SCIENCE Vol. 3 No. 1 (2025): Indonesian Journal On Data Science
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat Universitas Achmad Yani Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30989/ijds.v3i1.1585

Abstract

Aplikasi Saffco Skin dirancang untuk membantu pengguna memahami kebutuhan kulit mereka dan memperoleh rekomendasi produk perawatan wajah yang sesuai. Sistem rekomendasi pada aplikasi ini menggunakan algoritma K-Nearest Neighbors (KNN) yang menganalisis data profil pengguna, termasuk tipe kulit (berminyak, kering, sensitif, normal, dan kombinasi), untuk memberikan saran produk yang relevan. EvaluasI model dilakukan dengan dua metrik utama, yaitu jarak rata-rata ke lima tetangga terdekat dan konsistensi tipe kulit produk rekomendasi. Hasil pengujian menunjukkan bahwa rata-rata jarak dari sepuluh sampel produk ke lima rekomendasi terdekat adalah 0.1075, yang menandakan bahwa produk yang direkomendasikan memiliki kemiripan fitur yang tinggi. Selain itu, pada pengujian produk "Perfect Lip Gloss", seluruh rekomendasi (5 dari 5) memiliki tipe kulit yang sama, menghasilkan 100% konsistensi tipe kulit. Model KNN diintegrasikan ke dalam backend berbasis Flask dan terhubung ke antarmuka pengguna Flutter melalui API. Selain sistem rekomendasi, aplikasi ini juga menyediakan katalog produk, artikel edukatif seputar perawatan kulit, serta fitur daftar favorit. Dengan demikian, Saffco Skin menjadi solusi praktis dan cerdas bagi pengguna dalam memilih produk perawatan wajah yang sesuai dengan karakteristik kulit mereka.
Co-Authors Anrico Ananda Putra Dini Siskasari Elviandri, Elviandri Fajar Masya Gilvina Grace B. A. Herdiesel Santoso Irmma Dwijayanti Martin Ronaldo Yosef Mita Aprilia Damayanti Muhammad Nurcholis Alhadi Rois Ali Fernandi Surahman Surahman