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All Journal JOIV : International Journal on Informatics Visualization JOURNAL OF SCIENCE AND SOCIAL RESEARCH IT (INFORMATIC TECHNIQUE) JOURNAL Majalah Ilmiah UPI YPTK INFOSYS (INFORMATION SYSTEM) JOURNAL Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Jurnal Komtekinfo Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) PUBLIDIMAS CSRID LEX JUSTITIA
Negoro, Wahyu Saptha
Universitas Potensi Utama
Aerospace Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences

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SISTEM PENDUKUNG KEPUTUSAN KELAYAKAN KENAIKAN GAJI PEGAWAI MENGGUNAKAN METODE WASPAS Wahyu Saptha Negoro; Linda Wahyuni; Fujiati Fujiati
IT (INFORMATIC TECHNIQUE) JOURNAL Vol 9, No 1 (2021): IT JOURNAL APRIL 2021
Publisher : Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/it.9.1.2021.1-12

Abstract

Gaji pegawai merupakan hasil kinerja yang diperoleh pegawai selama bekerja, adapun dari kenaikan gaji dikarenakan dari kelayakan atau keberhasilan pegawai dalam mencapai progress yang telah ditentukan oleh pihak perusahaan. Suatu upaya untuk meningkatkan kinerja pada PT. Dwi Tama Prima Sakti adalah memberikan kenaikan gaji kepada pegawai  yang layak mendapatkannya. Dalam pemberian kenaikan gaji kadang kala tidak sesuai dengan hasil kinerjanya. Pemberian kenaikan gaji sering kali dipukul rata  atau kadang kala pemberian kenaikan gaji hanya dengan memperkirakannya saja, tanpa penerapan perhitungan. PT. Dwi Tama Prima Sakti bergerak di bidang rental construction equipment dimana perusahaan ini menerima jasa pengerjaan tanah, memindahkan bahan bangunan, serta rental alat untuk bangunan yang mana dalam penentuan kenaikan gaji pegawainya belum menggunakan aplikasi komputer. Penentuan kriteria dalam pemilihan kelayakan dari kenailkan gaji ada 4 kriteria diantaranya masa kerja, prestasi, beban kerja dan pendidikan. Sehingga dari 20 data pegawai yang bisa diambil keputusan Layak atau tidaknya  dalam  penentuan kenaikan gaji diranking lebih besar dari nilai 8 terhadap perhitungan metode WASPAS.
Penerapan Knowledge Management System Sentra Pelayanan Kepolisian Terpadu Pada Polsek Medan Barat Berbasis Web Diki Ramanda; Edy Victor Haryanto; Rini Oktari Batubara; Wahyu Saptha Negoro
INFOSYS (INFORMATION SYSTEM) JOURNAL Vol 7, No 2 (2023): InfoSys Februari 2023
Publisher : Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/infosys.7.2.2023.212 - 223

Abstract

Polsek Medan Barat merupakan salah satu pusat pelayanan masyarakat yang berada di wilayah  Medan Barat. Kepolisian di bidang SPKT (Sentra Pelayanan Kepolisian Terpadu) memberikan pelayanan kepolisian terpadu, bantuan dan pertolongan, serta pelayanan informasi pelaporan dan pengaduan di masyarakat. Dalam hal ini, petugas SPKT harus cepat tanggap terhadap laporan masyarakat yang terima. Tujuan penelitian ini adalah untuk membangun sistem Aplikasi KMS diharapkan dapat membantu Pihak Administrasi SPKT dengan layanan pengaduan kepada masyarakat, dan sistem yang mampu menyebarluaskan informasi knowledge secara online atau cepat tanggap. Disamping itu, kurangnya pengetahuan masyarakat terkait tata cara melakukan pengaduan atau keluhan seperti pengaduan tindak pidana kriminal yang di dalamnya termasuk laporan penipuan, perampokan, penggelapan, pencurian, kehilangan barang berharga dan sebagainya. Aplikasi Knowledge Management System (KMS) akan dirancang berbasis website dengan menggunakan bahasa pemrograman PHP dan MYSQL sebagai basis datanya. Adapun sistem yang akan dibangun diharapkan akan menjadi wadah Sharing knowledge kepada masyarakat dalam mengakses pelayanan informasi dokumen dari sentra pelayanan kepolisian terpadu dan terciptanya forum diskusi.
JARINGAN SYARAF TIRUAN DENGAN LEARNING VECTOR QUANTIZATION (LVQ) UNTUK KLASIFIKASI DAUN: ARTIFICIAL NEURAL NETWORKS USING LEARNING VECTOR QUANTIZATION (LVQ) FOR LEAF CLASSIFICATION Soeheri; Rita Sari; Wahyu Saptha Negoro; Yuhandri
Computer Science Research and Its Development Journal Vol. 16 No. 1 (2024): February 2024
Publisher : LPPM Universitas Potensi Utama

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Abstract

Leaves are one part of a plant species that is commonly used to classify plant and plant species. The process of assisting various types of leaves usually involves experts using a herbarium, which is a collection of preserved plant specimens. Leaf classification is the detection of different types of leaves, where there are 2 types of leaves including Magnolia Soulangeana and Invillea leaves. The training data contains 30 images consisting of 15 each of the 2 types of leaves, then the test data contains 20 images which are also taken from the 2 types of leaves. So that the total images used are 50 leaf images. The leaf classification uses feature extraction and the method used in the classifier is Learning Vector Quantization (LVQ) which is a pattern classification method in which each output unit represents a particular class or group. The test results showed that the process of calling Magnolia Soulangeana and Bougainvillea leaves in this experiment was successful with 80% detection Keywords—Leaf classification, Learning Vector Quantization, Artificial Neural Networks, Feature extraction.
Deteksi Citra CT Scan Paru-paru untuk Penentuan Luas dan Keliling dengan Metode Active Contour Negoro, Wahyu Saptha; Azhar, Asbon Hendra; Destari, Ratih Adinda
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 6, No 1 (2025): Edisi Januari
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v6i1.567

Abstract

Much research has been carried out on medical image processing by developing various methods of image processing. The research was carried out with the aim of improving image quality, so that it is easier to interpret and analyze images objectively. The same is true for CT scan images of the lungs, which are images in DICOM (Digital Imaging and Communications in Medicine) format which were researched using the Active Contour method to be able to segment the borders of the lungs and be able to calculate the size of their area and circumference more appropriate. There were 5 CT scan images of the lungs used in this research as examples of segmentation using the Active Contour method. The results obtained from detecting CT scan images of the lungs based on validation of the suitability of calculating the area and circumference of the lungs by doctors have an accuracy of 80%. Based on this research, it can be used as a medical reference for determining the size of the area on CT scan images of the lungs.
Detection of Keratitis in the Cornea by Developing an Active Contour Method Based on Contrast Features Negoro, Wahyu Saptha; Sumijan, Sumijan; Bukhori, Saiful
JOIV : International Journal on Informatics Visualization Vol 9, No 2 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.2.3356

Abstract

Digital Image Processing (DIP) is a scientific discipline that uses computer image processing techniques. The object of this research is keratitis on the cornea. The image of keratitis is obtained using a slit lamp at Padang Aye Center (PAC) Hospital, based on the results of the diagnosis, namely by looking at the development of the infiltrate or also called hypopyon, measuring the ulcer borders horizontally and vertically to evaluate improvement or response to the treatment given. The clinical results cannot determine the extent and circumference of the keratitis layer area that responds to treatment in the corneal area. The images used were 206 slit lamp images of keratitis. This research provides knowledge in the form of contrast values in the Active Contour method, resulting in an update called Active Contour Contrast Adjustment (ACCA) in correctly segmenting keratitis objects and providing measurements of the area and perimeter of the keratitis area. Overall. The research results from 206 slit lamp images, 195 slit lamp images of keratitis could detect keratitis correctly, and eleven slit lamp images of keratitis could not be detected, resulting in an accuracy of 94.66%. Meanwhile, the standard Active Contour accuracy was not detected at all or 100% undetected. Based on 11 images not detected using the (ACCA) method from 206 images, an accuracy of 5.33% was obtained. So, the results obtained are outstanding and can be used as a reference for medical personnel.
Understanding Digital Image Processing in Object Identification Against the Development of Information Technology Saptha Negoro, Wahyu; Hendra Azhar, Asbon; Adinda Destari, Ratih; Soeheri
Majalah Ilmiah UPI YPTK Vol. 32 (2025) No. 1
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jmi.v32i1.174

Abstract

Digital image processing is one of the important branches of computer science that plays a major role in supporting accurate and efficient object identification. This service aims to analyze the extent to which understanding the concepts and techniques of digital image processing can contribute to the progress of object identification, especially in the context of the increasingly rapid development of information technology. By using a descriptive-qualitative approach and literature study, this service uses various image processing methods such as segmentation, edge detection, and machine learning-based classification and others. The data used in this service is secondary data as an implementation of the object process in digital image processing for students' understanding of object detection. The results show that a deep understanding of image processing not only improves the accuracy of object identification, but also opens up opportunities for application development in various fields such as security, health, agriculture, and the manufacturing industry and this service can provide education for students to learn about the development of information technology in digital images. Thus, digital image processing is an important component in supporting digital transformation and information technology innovation in the future.  
Literasi Informasi Berbasis Search Engine di SMK PAB 8 Sampali: Literasi Informasi Berbasis Search Engine di SMK PAB 8 Sampali Wahyu Saptha Negoro; idzhari rahman; Arbana Syamanta
Publikasi Pengabdian Masyarakat Vol 3 No 1 (2023): PUBLIDIMAS Vol. 3 No. 1 MEI 2023
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/publidimas.v3i1.169

Abstract

Since its birth in the 1960s, the Internet has become an integral part of modern and dynamic society. Several search engines provide a set of tools which, when further explored, will be very useful in shortening search time. The tool includes search techniques using several commands that must be entered into the query by the user. It has been discussed before that there are many search engines (search engines) that can be used to search for information on the internet. However, with all these search engines, Google is still the best. Google is one of the giant companies on the internet. Google has proven to have made a very big contribution to the world community, especially in accessing global information. Advances in science and information technology in the form of internal impact on all aspects of human life. The internet has had a huge impact by penetrating various people's lives and behavior. Keywords : Information Search and Seacrch Engine
Implementasi Tanggung Jawab Kepolisian Tentang Pengamanan Eksekusi Jaminan Fidusia Simatupang, Boby Daniel; Negoro, Wahyu Saptha; Ramadhani, Ivo
Publikasi Pengabdian Masyarakat Vol 5 No 1 (2025): PUBLIDIMAS Vol. 5 No. 1 MEI 2025
Publisher : LPPM Universitas Potensi Utama

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Abstract

In the Indonesian Government regulations, Fiduciary has been stated in Law No. 42 of 1999. Where the definition of Fiduciary is a process of transferring ownership of an object based on trust, but the object is still in the control of the party who transferred it. So that the Law becomes a means of creating a community rule that exists for everyone who wants to feel justice so that it becomes the main focus of the formation of legislation that must be in accordance with the principles of justice and the function of law as social control, then this relationship between law and social values ​​is interrelated where law as a solution to problems for society in general. Law has a dual function on the one hand is an action that may be so institutionalized which is then used by society to achieve a goal of solving problems in the responsibility of the police regarding the security of the Execution of Fiduciary Guarantees. The method used in this study is the Applied Research Method, where this method is a type of research whose results can be directly applied to solve the problems being faced. As. Prof. Mr. E.M Meyers who defines Law in his book "De Algemene bergrippen van het burglijik Recht" (Law is all rules that contain moral considerations, aimed at human behavior in society, and which serve as guidelines for state authorities in carrying out their duties). And Leon Duhuit's theory: "law is a rule of behavior for members of society, a rule whose use at a certain time is respected by a society as a guarantee of a collective reaction and which if violated will cause a collective reaction against the person who committed the violation" Problem Formulation (1). What is the attitude of vehicle owners who are still on credit in arrears in payments; (2) What needs to be prepared if you meet a Leasing Debt Collector; (3). Who has the right to carry out a fiduciary execution seizure.he abstract begins with an Indonesian
Segmentation and Classification of Vitamin C Content in Red Chili Pepper Images Using the Linear Discriminant Analysis (LDA) Method: Segmentation and Classification of Vitamin C Content in Red Chili Pepper Images Using the Linear Discriminant Analysis (LDA) Method Ramadhanu, Agung; Chan, Fajri Rinaldi; Yasmin, Nabilla; Negoro, Wahyu Saptha; Mardison, Mardison; Hendri, Halifia
CSRID (Computer Science Research and Its Development Journal) Vol. 17 No. 2 (2025): Juni 2025
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/csrid-.17.2.2025.149-162

Abstract

The vitamin C content in red chili peppers plays a crucial role in meeting nutritional needs, particularly in free nutritious lunch programs. Red chili peppers are one of the essential sources of vitamin C in daily consumption. However, vitamin C content in chilies can degrade due to storage and drying processes. This study develops a segmentation and classification method for vitamin C content in red chili pepper images using Linear Discriminant Analysis (LDA) as a faster and more efficient alternative to conventional laboratory methods. The dataset consists of 100 red chili images categorized into fresh and dried chilies. The analysis process includes preprocessing, feature extraction of color and texture (RGB, HSV, GLCM), dimensionality reduction, and classification using LDA. Experimental results show that this method achieves 99% accuracy on training data and 97% on test data, demonstrating that digital image processing can serve as a non-destructive approach for food quality estimation. This approach has the potential to be applied in food quality monitoring within the food industry and public nutrition programs.
KLASIFIKASI BIJI KOPI MENGGUNAKAN TEKNIK KOMBINASI RANDOM FOREST DAN INCEPTION V3 UNTUK EKSTRAKSI FITUR Rambe, Lima Hartimar; Manza, Yuke; Ashari, Annisa; Negoro, Wahyu Saptha
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 3 (2025): August 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i3.3976

Abstract

Abstract: Coffee bean classification is a crucial step in ensuring the quality and selling value of coffee products. Manual sorting methods are often inefficient and error-prone, necessitating a technology-based automated approach. This study proposes a combination of the Inception V3 architecture as an image feature extraction method and the random forest algorithm as a classifier to distinguish good and defective coffee beans. The dataset used consists of 986 images, divided into training and test data. The processing was carried out using the Orange Data Mining platform, which includes pre-processing, feature extraction, model training, and performance evaluation. The evaluation results show that the model produces an accuracy of 96.4% on the training data and 96.8% on the test data. In addition, other performance metrics such as AUC (1.000), F1-score (0.967), precision (0.968), recall (0.968), and MCC (0.922) strengthen the model's excellent classification performance. Thus, the combined approach of Inception V3 and random forest is proven effective and has the potential to be implemented in a digital image-based coffee bean classification system. Keywords: Coffee Bean Classification, Random Forest, Inception V3, Feature Extraction, Digital Imagery Abstrak: Klasifikasi biji kopi merupakan langkah penting dalam menjamin mutu dan nilai jual produk kopi. Metode manual dalam penyortiran sering kali tidak efisien dan rentan kesalahan, sehingga dibutuhkan pendekatan otomatis berbasis teknologi. Penelitian ini mengusulkan kombinasi arsitektur Inception V3 sebagai metode ekstraksi fitur citra dan algoritma random forest sebagai klasifikator untuk membedakan biji kopi bagus dan rusak. Dataset yang digunakan terdiri dari 986 gambar, terbagi menjadi data latih dan data uji. Proses pengolahan dilakukan menggunakan platform Orange Data Mining, yang meliputi tahap pra-pemrosesan, ekstraksi fitur, pelatihan model, dan evaluasi kinerja. Hasil evaluasi menunjukkan bahwa model menghasilkan akurasi sebesar 96,4% pada data latih dan 96,8% pada data uji. Selain itu, metrik performa lain seperti AUC (1.000), F1-score (0.967), precision (0.968), recall (0.968), dan MCC (0.922) memperkuat bahwa model ini memiliki kinerja klasifikasi yang sangat baik. Dengan demikian, pendekatan kombinasi Inception V3 dan random forest terbukti efektif dan berpotensi diimplementasikan dalam sistem klasifikasi biji kopi berbasis citra digital. Kata kunci: Klasifikasi Biji Kopi, Random Forest, Inception V3, Ekstraksi Fitur, Citra Digital
Co-Authors Achmad Syahrian Adinda Destari, Ratih Agung Ramadhanu Andreas Jorghy Parapat Andri Armaginda Siregar Annisa Ashari Arbana Syamanta Asbon Hendra Azhar Ashari, Annisa Azhar, Asbon Hendra Bill Raj Bob Subhan Riza Boby Daniel Simatupang Bualazatulo Laia Chan, Fajri Rinaldi Diki Ramanda Diyo Mollana Fazri Dwi Robiul Rochmawati Edy Victor Haryanto Edy Victor Haryanto Fhery Agustin Fragastia, Vidi Agung Fujiati Fujiati Halifia Hendri Hendra Azhar, Asbon Heru Fredi Idzhari Rahman Ivo Ramadhani Iwan Fitrianto Rahmad Jalaluddin Nasution Johan Larissa Navia Rani, Larissa Lima Hartimar Rambe Linda Wahyuni Manza, Yuke Mardison Mardison Mardison Mardison Mhd. Agung Irnanda Muhammad Al Adib Muhammad Reza Putra Nanda Setiawan Rahmad Santoso Rahmat Humala Putra Hasibuan Ramadhani, Ivo Rambe, Lima Hartimar Ratih Adinda Destari Ratih Adinda Destari, Ratih Adinda Rika Rosnelly Rini Oktari Batubara Rita Sari Rita Sari Romi Antoni Saiful Bukhori Simatupang, Boby Daniel Soeheri Soeheri Sofika Enggari Sumijan Sumijan Susiana Khosasih Syahrian, Achmad Yasmin, Nabilla Yiska Dayanti Zagoto Yuhandri Yuhandri, Yuhandri Yuke Manza