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RANCANG BANGUN PERANGKAT LUNAK PEMBELAJARAN (e-Learning) MANDIRI BIOLOGI GENETIKA BERBASIS WEB Durio Z; Yeni Kustiyahningsih; Achmad Jauhari
Jurnal Simantec Vol 1, No 2 (2010): Juni
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v1i2.13362

Abstract

Genetika merupakan cabang biologi yang mempelajari hereditas (pewarisan keturunan) dan variasi mahluk hidup. Genetika merupakan ilmu yang penting dalam perkembangan biologi. Karena tidak adanya sarana tempat kegiatan siswa, dimana siswa tidak dapat menambah kemampuan membaca materi, mencari informasi, dan kesulitan menggambarkan kasus genetika yang hanya terpaku dengan buku pelajaran di kelas. Ini merupakan salah satu kesulitan siswa untuk dapat memahami dan menguasai mata pelajaran biologi pada umumnya dan terutama masalah hereditas dan variasi mahluk hidup. Penelitian ini berisi tentang perancangan perangkat lunak Pembelajaran mandiri biologi genetika berbasis web. Pembelajaran dibuat dengan penyediaan modul-modul materi sebagai bahan ajar yang sesuai dengan kurikulum. Pembelajaran ini disertai dengan kumpulan istilah genetika sebagai pelengkap belajar dan visualisasi genetika yang dibentuk melalui animasi sebagai tutorial dalam memahami kasus-kasus genetika. Dengan dukungan Web yang bisa diakases kapanpun dan dimanapun akan membantu siswa lebih cepat dalam mendapatkan materi. Perangkat lunak pembelajaran ini juga dilengkapi fitur berupa soal-soal latihan yang dapat di gunakan untuk menguji seberapa besar materi pembelajaran dapat serap oleh siswa SMA. Selain itu dengan menggunakan perangkat lunak ini siswa dapat lebih cepat memahami dan mengerti tentang bidang studi biologi genetika di SMA.
PERANCANGAN DAN PEMBUATAN SISTEM INFORMASI TUGAS AKHIR (SIMTAK) Studi Kasus : Program Studi Teknik Informatika, Fakultas Teknik Universitas Trunojoyo Madura Ach. Khozaimi; Firdaus Solihin; Achmad Jauhari
Jurnal Simantec Vol 1, No 3 (2010): Desember
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v1i3.13389

Abstract

SISTEM INFORMASI EVALUASI MUTU AKADEMIK DAN PROSES PEMBELAJARAN MENGGUNAKAN METODE ENHANCED CUMULATIVE VOTING Aris Eko Priyanto; Achmad Jauhari; Rika Yunitarini
Jurnal Simantec Vol 8, No 1 (2019)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v8i1.8753

Abstract

COMPARISON OF STEMMING AND SIMILARITY ALGORITHMS IN INDONESIAN TRANSLATED AL-QUR'AN TEXT SEARCH Ika Oktavia Suzanti; Achmad Jauhari
Jurnal Ilmiah Kursor Vol 11 No 2 (2021)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/kursor.v11i2.280

Abstract

The long history of information retrieval did not begin with Internet. Prior to widespread public daily use of search engines, in the 1960s information retrieval systems were discovered in commercial and intelligence applications. There are two stages in Information Retrieval in doing its main job which is to preprocessing text and to calculate similarity between term (word) and query (keyword) user searched for in a document. Stemming is final stage of pre-processing in an information retrieval system. The way stemming works is to remove affixes from a word, in form of prefixes, suffixes and insertions into form of basic word. Thus, in this paper we did compare search on information retrieval system without using stemming algorithm, using stemming Porter, Nazief & Adriani and Enhanced Confix Stripping with similarity method used is cosine similarity and dice similarity. Based on test results, text search ability on dice similarity is faster in stemming process with Porter Stemmer and ECS algorithms. While in Nazief & Adriani algorithm and without stemming, cosine similarity is faster than dice similarity.
Smart Mobile Application for Decision Support Systems on Determination of Resident in Dormitory Achmad Jauhari; Fifin Ayu Mufarroha; Muhammad Amfahtori Wijarnoko; Moh. Yusril Ihza Maulana; Ahmad Try Bayu Al Haq; Linawati Linawati
Jurnal Ilmiah Kursor Vol 10 No 3 (2020)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/kursor.v10i3.236

Abstract

The dormitory is one of the facilities provided with the aim of helping students to get a place to live because some of them come from distant places. The Trunojoyo Madura University dormitory has regulations that serve as a place for the process of character education, spiritual deepening, moral improvement. With these regulations, plus the boarding house is a conducive, economical, and strategic place to stay making many students interested in being able to live there. The problem is that each semester change is carried out by the selection of dorm residents and so far it is still done manually by way of discussion of each individual. Therefore, the purpose of this research is to help the board by building a decision support system in determining residents who are still eligible to live in a dormitory and provide opportunities for other students to live in a dormitory. We develop systems based on mobile applications. TOPSIS method (Technique for Order of Preference by Similarity to Ideal Solution) is implemented as a multi criteria decision making method with four main criteria including routine absence, non-routine absence, violation and notes. The final results of this decision support system are ranks and colors that indicate the status of boarding residents. Ranking starts from the top (1) to the bottom (216) accompanied by a status of green to red. The color status is divided into 3 namely green (safe), yellow (vulnerable), and red (issued). From 216 boarders we took 10 samples of dormitory data for testing. The results of trials with 10 data samples by applying the TOPSIS method obtained an accuracy of 90%.
SMS Gateway Based Vacancy of Work Vocation Information System on Pamekasan Region selia resita; achmad jauhari; Moch Kautsar Sophan
International Journal of Science, Engineering, and Information Technology Vol 1, No 2 (2017): IJSEIT Volume. 01 Issue. 02 JULY 2017
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (278.751 KB) | DOI: 10.21107/ijseit.v1i2.6455

Abstract

The increased growth of the society in Pamekasan from year to year is directly proportional to the number of job seekers increase continuesly. A large number of job seekers is not only due to the inadequate number of jobs, but also because of the slow and precise job information to the proper parties (the people who need jobs). Disnakertrans as an institution formed by the Government has made several attemps to minimize the number of job seekers, but until now the result obtained are not optimal, because there is no systemthat can accommodate the needs of both parties (providers and job seekers). Therefore, the research aims to create a website that accommodates data vacancies and job seekers. Later, the data is automatically going throught the process of weighting by means of the Simple Additive Weighting, this method is expected to optimize the selection of a job based on the latest education, gender, and age that has been mentioned by job seekers when registering. Once the selection process is complete, the job information is sent via SMS Gateway to job seekers. This SMS will send the job information suitable for the number of job seekers who have posted on the website.
Application of Google Maps API on Smart City for Searching Distance Nearby Health Facilities in Bangkalan ela nur azizah; achmad jauhari; yoga dwitya pramudita
International Journal of Science, Engineering, and Information Technology Vol 1, No 1 (2016): IJSEIT Volume. 01 Issue. 01 DECEMBER 2016
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (473.798 KB) | DOI: 10.21107/ijseit.v1i1.6474

Abstract

Health facility is a facility which engaged in health in an effort to provide services from government and society to inform about health, prevention of disease, treatment, and bring back the sicks to their main environment. The health informaion which is provided by Google Maps is not complete yet. So, the problem that arises is the media that provide health information is still small. And society in Bangkalan cant reach the health information in overall. That problem can solve with an aplication which is build by Framework Codeigniter and Google Maps API. This application can accomodate and provide health data facility completely. So the society in Bangkalan can search by their own self about location with the nearest distance and know all about health information. Such like health facility, the addresses, and doctor's schedules in hospital and community health centre. The applocation which has been build is effective to help society to know all location and information about health in Bangkalan. This proven by quality of this application to 10 respondent with resultd 77,3%  
The Development of Information Systems for Measuring Student Performance at MTs Al-Azhar Paseseh Tanjung Bumi Achmad Jauhari; Fifin Ayu Mufaroha
International Journal of Science, Engineering, and Information Technology Vol 4, No 1 (2019): IJSEIT Volume. 04 Issue. 01 DECEMBER 2019
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (424.852 KB) | DOI: 10.21107/ijseit.v4i1.6559

Abstract

Education becomes a compulsive program set by the government by implementing a 12-year compulsory education to improve human resources in Indonesia. A part of primary education concerns and results from measurement of student performance, that we call it school report cards. The main aim of this research is to build a school grade information system to help teacher and the homeroom teacher in input school report cards. Development of this system has built by applying the waterfall model. Data obtain to making this system, we use two elicitation techniques, questionnaire and interview technique. The advantage of this system is that our system didn’t need use online and all data will stored in a database and can print as a report. To get the data used in making this system, we used two elicitation techniques namely questionnaire and interview techniques. The advantage of this system is that our system does not need to be used online and all data will be stored in a database and can be printed as a report. Another benefit gained is that all teaching staff, both permanent teachers (PNS) or non-permanent  teachers can  use the system
Hubungan Budaya Sekolah dan Komitmen Organisasi dengan Produktivitas Kerja Guru di SMP Negeri di Kota Mataram Achmad Jauhari; Wildan Wildan; Sukardi Sukardi
(JPAP) Jurnal Praktisi Administrasi Pendidikan Vol. 1 No. 1 (2016)
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpap.v1i1.1

Abstract

K-Nearest Neighbors Method for Recommendation System in Bangkalan’s Tourism Devie Rosa Anamisa; Achmad Jauhari; Fifin Ayu Mufarroha
ComTech: Computer, Mathematics and Engineering Applications Vol. 14 No. 1 (2023): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v14i1.7993

Abstract

The more tourist objects are in an area, the more challenging it is for local governments to increase the selling value of these attractions. The government always strives to develop tourist attraction areas by prioritizing the beauty of tourist attractions. However, visitors often have difficulty in determining tourist objects that match their criteria because of the many choices. The research developed a tourist attraction recommendation system for visitors by applying machine learning techniques. The machine learning technique used was the K-Nearest Neighbor (KNN) method. Several trials were conducted with a dataset of 315 records, consisting of 11 attributes and 21 tourist attractions. Based on the dataset, the preprocessing stage was previously carried out to improve the data format by selecting data where the data were separated based on existing criteria, then calculating the closest distance and determining the value of k in the KNN method. The results are divided into five folds for each classification method. The highest system accuracy obtained at KNN is 78% at k=1. It shows that the KNN method can provide recommendations for three tourist attraction classes in Bangkalan. Applying the KNN method in the recommendation system determines several alternative tourist objects that tourists can visit according to their criteria in natural, cultural, and religious tourist objects.