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Jiko (Jurnal Informatika dan komputer)
Published by Universitas Khairun
ISSN : 26148897     EISSN : 26561948     DOI : -
Core Subject : Science,
Computer Science & IT
Jiko (Jurnal Informatika dan Komputer) Ternate adalah jurnal ilmiah diterbitkan oleh Program Studi Teknik Informatika Universitas Khairun sebagai wadah untuk publikasi atau menyebarluaskan hasil - hasil penelitian dan kajian analisis yang berkaitan dengan bidang Informatika, Ilmu Komputer, Teknologi Informasi, Sistem Informasi dan Sistem Komputer. Jurnal Informatika dan Komputer (JIKO) Ternate terbit 2 (dua) kali dalam setahun pada bulan April dan Oktober
Arjuna Subject : -
Articles 175 Documents
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PERANAN MANAJEMEN PENGETAHUAN DALAM EVALUASI SISTEM PEMERINTAHAN BERBASIS ELEKTRONIK Ficky Eriyanto Triyudian Rasid; Sasongko H Pramono; Muhammad N Rizal
JIKO (Jurnal Informatika dan Komputer) Vol 5, No 3 (2022)
Publisher : JIKO (Jurnal Informatika dan Komputer)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jiko.v5i3.5284

Abstract

Manajemen Pengetahuan dapat dikategorikan sebagai faktor prinsipil dalam Organisasi Pemerintahan dikarenakan memegang pengaruh langsung dalam menciptakan perubahan dalam hal perkembangan dan penggunaan teknologi dan informasi sehingga dapat meningkatkan efektivitas dan efisiensi organisasi. Dengan kemajuan teknologi saat ini knowledge atau pengetahuan merupakan sumber daya yang harus dianggap penting bagi organisasi. Pemerintah Indonesia menyadari pentingnya manajemen pengetahuan dengan menerbitkan Peraturan Menteri Pendayagunaan Aparatur Negara dan Reformasi Birokrasi (PAN-RB) Nomor 59 Tahun 2020 tentang Evaluasi Sistem Pemerintahan Berbasis Elektronik (SPBE) didalamnya terdapat domain baru yaitu Domain Manajemen SPBE. Manajemen Pengetahuan menjadi salah satu indikator yang dievaluasi dengan adanya indikator 26 dengan fokus terhadap manajemen pengetahuan organisasi.  Setiap Kementerian Lembaga dan Pemerintah Daerah diharapkan dapat memahami  manajemen pengetahuan dan faktor-faktor  dalam Manajemen Pengetahuan seperti jenis pengetahuan, berbagi pengetahuan, model konversi pengetahuan, faktor penunjang dan hambatan dalam implementasi dalam penerapan Manajemen pengetahuan. Evaluasi diperlukan untuk menjaga standar penyelenggaraan pemerintahan dalam bidang pendayagunaan teknologi informasi dan komunikasi dengan efektif, efisien dan berkelanjutan sebagai peningkatan proses transformasi e-government di Indonesia.
APLIKASI PSIKOTES ONLINE UNTUK PENYARINGAN CALON KARYAWAN DI PT RAPID TEKNOLOGI INDONESIA Abraham Situmorang
JIKO (Jurnal Informatika dan Komputer) Vol 5, No 3 (2022)
Publisher : JIKO (Jurnal Informatika dan Komputer)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jiko.v5i3.4925

Abstract

Proses penyaringan karyawan di PT Rapid Teknologi Indonesia masih dilakukan menggunakan sistem manual dengan cara mengirimkan soal-soal psikotes dalam bentuk file word melalui email dan calon karyawan tersebut mengirimkan lagi jawaban dengan membalas email tersebut. Ketika jawaban tes sudah diterima, maka tim psikotes dari divisi Human Resources akan membuat laporan dalam bentuk Chart dan dikirimkan lagi ke Human Resources Manager. Proses tersebut bisa memakan waktu 4 hingga 5 hari lamanya sampai penentuan lolos atau tidaknya calon karyawan tersebut ketahap selanjutnya. Oleh karena itu harus adanya sistem yang akomodir kebutuhan psikotes secara online agar bisa mempersingkat waktu proses penyaringan tersebut. Penulis memberi solusi agar implementasi aplikasi perangkat lunak menggunakan aplikasi berbasis web-based, open source dan gratis yaitu bigfive-web. Dengan aplikasi psikotes online ini diharapkan proses penyaringan psikotes bisa dilakukan hanya sehari dan memberi keputusan kepada calon karyawan tersebut secara cepat hanya dalam sehari. Pada penelitian ini menggunakan metode psikotes Model Kepribadian Lima Besar. Tujuan penelitian ini adalah untuk mengotomatisasi sistem psikotes online calon karyawan agar perusahaan bisa mempermudah dan menghemat waktu penyaringan calon karyawan, serta tim psikotes tidak perlu membuat laporan berbentuk Chart lagi karena sudah disediakan pada aplikasi ini. Aplikasi psikotes online ini diharapkan menjadi solusi pengambilan keputusan secara otomatis dengan menampilkan hasil psikotes secara langsung ketika calon karyawan telah selesai mengikuti psikotes online tersebut.
AUDIT TEKNOLOGI INFORMASI PERPUSTAKAAN PADA STMIK DHARMA WACANA METRO MENGGUNAKAN FRAMEWORK COBIT 2019 DENGAN DOMAIN DSS muammar khadafi
JIKO (Jurnal Informatika dan Komputer) Vol 5, No 3 (2022)
Publisher : JIKO (Jurnal Informatika dan Komputer)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jiko.v5i3.5556

Abstract

Manajemen TI diperlukan untuk menjaga dan menjamin kelancaran operasional teknologi informasi di perpustakaan. Hal ini tentu mempengaruhi kualitas perpustakaan yang terintegrasi dengan IT. Proses audit pada penelitian ini memakai COBIT 2019 menggunakan domain Delivery Support and Service (DSS). Fokus DSS yang dipakai adalah DSS01 dan  DSS06. Audit ini berfokus  pada tinjauan  manajemen operasi dan  manajemen proses  bisnis  perpustakaan. Hasil audit di perpustakaan STMIK Dharma Wacana Metro  menunjukkan  bahwa tingkat kapabilitas  yang  diterima berada pada level 1.
BRAIN TUMOR DETECTION FROM MRI IMAGES USING DISCRETE COSINE TRANSFORM FEATURES AND EXTREME LEARNING MACHINE Simeon Yuda Prasetyo
JIKO (Jurnal Informatika dan Komputer) Vol 6, No 1 (2023)
Publisher : JIKO (Jurnal Informatika dan Komputer)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jiko.v6i1.5230

Abstract

A brain tumor is an abnormal growth of brain tissue and characterized by excessive cell proliferation in certain parts of the brain. One of the current, reliable technologies that can be used to identify brain tumors is Magnetic Resonance Imaging (MRI) scans. The scanned MRI images are then conventionally monitored and examined by a specialist for the presence of tumors. As the number of people suffering from brain tumors is significantly increasing and their corresponding mortality rate has reached 18,600 by 2021, research on designing more effective and efficient tools to assist medical specialists in identifying brain tumors is considered of great importance. In a previous study, a machine learning-based model demonstrated its ability to detect brain tumors with a classification accuracy of 92%. Several hyperparameters were computationally tested using public MRI datasets to obtain the most reliable detection/binary classification accuracy on MRI brain images. Sophisticated model accuracy was achieved by testing various neuronal units and ELM activation functions, followed by inserting a feature map extracted from the Discrete Cosine Transform (DCT). The model obtained the highest testing accuracy of 95% with several 20 ELM neuron units with a tanh activation function.
Page Index jiko unkhair
JIKO (Jurnal Informatika dan Komputer) Vol 6, No 1 (2023)
Publisher : JIKO (Jurnal Informatika dan Komputer)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jiko.v6i1.6069

Abstract

SUPPORT VECTOR MACHINE (SVM) ALGORITHM FOR STUDENT SENTIMENT ANALYSIS OF ONLINE LECTURES Abdul Muis; Abdul Mubarak; Arifandy M Mamonto; Satria Dwi Surya
JIKO (Jurnal Informatika dan Komputer) Vol 6, No 1 (2023)
Publisher : JIKO (Jurnal Informatika dan Komputer)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jiko.v6i1.5836

Abstract

Covid-19 was first discovered in Wuhan City, Hubei Province, China at the end of December 2019. According to the WHO (World Health Organization) as of October 13 2020, the number of positive confirmed cases of Covid-19 reached 38,103,332 cases, while in Indonesia the number of cases exposed to Covid-19 reached 268.85 cases and is likely to increase every day (Covid-19 Handling Task Force, 2020). The formulation of the problem that will be raised from this research is to measure the level of accuracy obtained from the results of classifying sentiments of distance learning during the Covid-19 pandemic using the Support Vector Machine (SVM) method and measuring the impact of implementing online lectures during the Covid-19 pandemic. The data used in this research is in the form of public responses regarding distance learning policies implemented during the Covid-19 pandemic, taken from January to March 2022. The data obtained will then be divided into training data as much as 80% of the the total data and test data is 20% of the total data. Based on the results of testing the previous Support Vector Machine classification model, the accuracy value for the entire system can be calculated at 70.8%. Based on the results of testing the previous Support Vector Machine classification model, the accuracy value for the entire system can be calculated at 70.8%.
IMPLEMENTATION OF INFORMATION GAIN AND PARTICLE SWARM OPTIMIZATION UPON COVID-19 HANDLING SENTIMENT ANALYSIS BY USING K-NEAREST NEIGHBOR Riana Riana; Muhammad I Mazdadi; Irwan Budiman; Muliadi Muliadi; Rudy Herteno
JIKO (Jurnal Informatika dan Komputer) Vol 6, No 1 (2023)
Publisher : JIKO (Jurnal Informatika dan Komputer)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jiko.v6i1.5260

Abstract

In early 2020, a new virus from Wuhan, China, identified as the coronavirus or COVID-19, shocked the entire world. (Coronavirus Disease 2019). The government has made various attempts to combat this outbreak, despite the fact that the government's involvement in combating Covid-19 has many benefits and disadvantages. One of the most commonly debated subjects on Twitter is the Indonesian government's response to the Covid-19 virus. This research compares the k-nearest neighbor classification technique, Information Gain feature selection with the K-Nearest Neighbor classification algorithm, and Information Gain feature selection and Particle Swarm Optimization optimization with the K-Nearest Neighbor classification algorithm. Comparisons are performed to determine which method is more accurate. Because it is frequently used for text and data categorization, the K-Nearest Neighbor algorithm was selected. The K-Nearest Neighbor algorithm has flaws, including the ability to be fooled by irrelevant characteristics and being less than ideal in finding the value of k. The selection of the Information Gain feature could indeed solve this issue by decreasing Terms that are less important and to optimize the K-Nearest Neighbor categorization, an optimization method with the Particle Swarm Optimization algorithm is employed to maximize the K-Nearest Neighbor classification. According to the results of this research, the K-Nearest Neighbor categorization with Information Gain feature selection and Particle Swarm Optimization optimization is better than the K-Nearest Neighbor model without selecting features and without optimization and is better than the K-Nearest Neighbor model with Information Gain selecting features, notably 87,33% with a value of K 5.
Comparison of Forensic Tools on Social Media Services Using the Digital Forensic Research Workshop Method (DFRWS) Ghufron Zaida Muflih; Sunardi Sunardi; Imam Riadi; Anton Yudhana; Himawan I Azmi
JIKO (Jurnal Informatika dan Komputer) Vol 6, No 1 (2023)
Publisher : JIKO (Jurnal Informatika dan Komputer)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jiko.v6i1.5872

Abstract

Social media applications currently play a role and become part of various human activities, on the other hand social media is also very vulnerable to various crimes. Some crimes on social media can be in the form of hate speech, defamation, fraud, gambling, pornography, and other harmful actions. This research applies the Digital Forensic Research Workshop (DFRWS) method to search for all data on twitter social media services running on the Android operating system using MOBILedit Forensic Express and Belkasoft Evidence Center tools. Twitter social media services in this research are used for activities by utilizing all the features in it. Activities carried out by twitter users become evidence that will be acquired using MOBILedit Forensic Express and Belkasoft Evidence Center tools. From the two tools used, a comparison was obtained that MOBILedit Forensic Express found more data on twitter social media than Belkasoft Evidence Center, the findings in these two tools made several contributions to social media investigations that run on the android operating system
EVALUATION OF SPBE SERVICE MATURITY LEVEL IN CENTRAL MALUKU DISTRICT GOVERNMENT USING SPBE 2020 FRAMEWORK arifin La Adu; Rudy Hartanto; Silmi Fauziati
JIKO (Jurnal Informatika dan Komputer) Vol 6, No 1 (2023)
Publisher : JIKO (Jurnal Informatika dan Komputer)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jiko.v6i1.5422

Abstract

Information and Communication Technology (ICT) utilization in the implementation of government processes is a priority that the government continues to develop. To make it happen, the government, through Presidential Decree No. 95 of 2018 concerning the implementation of an electronic-based government system (SPBE), every government agency must implement SPBE in its services and evaluate the implementation of SPBE periodically. With this urgency, the government issued Panrb Regulation No. 59 of 2020 concerning guidelines for assessing the maturity level of SPBE to correct deficiencies in the previous Panrb Regulation No. 5 of 2018 because there were several mandates of Presidential Regulation No. 95 of 2018 that had not been accommodated in it. One of the domains that received changes is the SPBE Service domain. In the SPBE service domain, there are updates to the assessment questionnaire and the addition of indicators that were originally 11 service indicators to 16 maturity-level service indicators. The purpose of this study is to determine the maturity level of SPBE services using the SPBE 2020 framework through the assessment of aspects of electronic-based Government Administration Services and the value of electronic-based Public Service aspects in Central Maluku regency. The Data in this study were obtained through interviews, observation, and validation of supporting evidence. The results of this study indicate the value of the SPBE Service Domain index of 2.36. The result of this value is used as an assessment of the maturity level of SPBE services in the Central Maluku regency government. From the acquisition of the index value, the maturity level of SPBE services in the Central Maluku regency government is included in the “average” category. To improve the indicators of low-value SPBE services, the Central Maluku regency government needs to implement the improvement recommendations that have been given.
PUBLIC VALUE BASED E-GOVERNMENT MATURITY MODEL: A LITERATURE REVIEW Titisari Ramadhane; Luthfi Ramadani; Lukman Abdurrahman
JIKO (Jurnal Informatika dan Komputer) Vol 6, No 1 (2023)
Publisher : JIKO (Jurnal Informatika dan Komputer)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jiko.v6i1.5898

Abstract

Public value is a means for evaluating the effectiveness and efficiency of public services and an E-Government maturity model that controls the process for developing and maintaining E-Government services. Previous studies have analyzed and discussed public values, maturity models. Therefore, it is necessary to examine what public values should be present in E-Government based on the E-Government maturity model. This study aims to develop public values based on the E-Government maturity model and fill the gaps in the literature research by categorizing the dimensions of public values and the existing E-Government maturity models. This research method uses a systematic literature review (PRISMA). A total of 60 articles were selected, classified, and analyzed according to the criteria of public value and the specified dimensions of the E-Government maturity model.  From the results of the literature review analysis, there are similarities between the dimensions of public value and the dimensions of the E-Government maturity model so that some of these dimensions can be combined to form a new public value dimension based on considerations from the dimensions of the E-Government maturity model, namely (1). Public Services in Government (2). Dimensions of Administration in Government, (3). Open Government (OG), (4). Ethical Behavior and Professionalism, (5). Trust and Confidence in Government (6). Social Value in Government. This study aims to strengthen public values based on the E-Government maturity model. It is hoped that implementing sustainable E-Government services will become easier by analyzing public values based on the E-Government maturity model.

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