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All Journal Bulletin of Electrical Engineering and Informatics Jurnal Penelitian Pendidikan Kreano, Jurnal Matematika Kreatif-Inovatif Scientific Journal of Informatics Buletin Ilmiah Sarjana Teknik Elektro Journal of Soft Computing Exploration Unnes Journal of Mathematics Education Unnes Journal of Mathematics Proceeding ISETH (International Summit on Science, Technology, and Humanity)
Endang Sugiharti, Endang
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Computer Science & IT Education Electrical & Electronics Engineering Engineering Mathematics Medicine & Pharmacology Social Sciences Other

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MENINGKATKAN KEMAMPUAN MEMECAHKAN MASALAH BAGI MAHASISWA PGMIPABI DALAM PERKULIAHAN TELKURMAT-2 MELALUI PENERAPANMIND-MAPPING BERCIRI KONSERVASI Suyitno, Amin; Sugiharti, Endang
Jurnal Penelitian Pendidikan Vol 30, No 1 (2013)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jpp.v30i1.5661

Abstract

Ability to solve problems for students of PGMIPABI Programin Analysis of Mathematics Curriculum 2 stillneeds to be improved.One way of it istoimplementof Mind Mapping based-on Conservationthattrain studentsfor independent study, creatitive, and get to knowthe environment by themselves.The problem ishow to improveproblem-solving abilityfor studentsof PGMIPABIof MathematicsEducation Study Program of UNNES, especiallyin the Analysis of Mathematics Curriculum 2 lecturing. The purposeof this researchis to improve problem-solving abilityfor studentsof PGMIPABIof MathematicsEducation Study Program of UNNES, especiallyin the Analysis of Mathematics Curriculum 2 lecturing.The resultsand conclusionsare asfollows.By applyingof Mind Mapping based-onConservation thenproblem-solving skillsfor studentsof PGMIPABIof MathematicsEducation Study Program of UNNES, especiallyin the Analysis of Mathematics Curriculum 2 lecturing canbe increased. The averagescoreobtained bystudentswas85.6,the averagescorewas higherthanthe averagescore ofthe previous years.The suggestions are (1)development ofapplyingof Mind Mapping based-on Conservation to improve problem-solving abilityfor studentsof PGMIPABIof MathematicsEducation Study Program of UNNES, especiallyin the Analysis of Mathematics Curriculum 2 shouldbe followed. (2)Needafurther research tothe othersubject and learning model base-on conservation.
Keefektifan Pembelajaran TPS Berbantuan Mouse Mischief Terhadap Hasil Belajar Siswa Kuncoro, Krida Singgih; Suyitno, Amin; Sugiharti, Endang
Kreano, Jurnal Matematika Kreatif-Inovatif Vol 5, No 2 (2014): Kreano, Jurnal Matematika Kreatif-Inovatif
Publisher : Jurusan Matematika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Negeri Sema

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/kreano.v5i2.4551

Abstract

Tujuan penelitian ini untuk mengetahui keefektifan pembelajaran Think Pair Share (TPS) Berbantuan Mouse Mischief terhadap hasil belajar siswa kelas X materi fungsi kuadrat. Populasi dalam penelitian ini adalah siswa kelas X SMA Negeri 1 Temanggung tahun pelajaran 2012/2013. Pemilihan sampel dengan cara random sampling, diperoleh siswa X-2 sebagai kelas eksperimen dan kelas X-4 sebagai kelas kontrol. Kelas eksperimen diajar dengan pembelajaran TPS Berbantuan Mouse Mischief, sedangkan kelas kontrol diajar dengan pembelajaran ekspositori. Pengambilan data diperoleh dengan metode dokumentasi untuk mendapatkan data nilai mid semester matematika dan metode tes untuk menentukan hasil belajar siswa yang kemudian dianalisis dengan uji ketuntasan dan uji perbedaan rata-rata. Hasil penelitian adalah (1) hasil belajar siswa kelas eksperimen mencapai ketuntasan belajar, baik ketuntasan individual maupun ketuntasan klasikal; dan (2) rata-rata hasil belajar kelas eksperimen lebih baik dari kelas kontrol.The purpose of this research was to determine the effectiveness of Think Pair Share (TPS) learning Assisted by Mouse Mischief towards students learning achievement grade X in quadratic functions material. The population in this research is student of grade X of SMA Negeri 1 Temanggung 2012/2013 academic year. The research samples were taken by using random sampling and found class X-2 as the experiment group and class X-4 as the control group. Experiment class was taught by TPS learning assisted by Mouse Mischief, while the control class was taught with the expository learning. Data is collected obtained by the documentation method to get math midterm score and test method for determining student learning achievement which is then analyzed by learning mastery test, individually and classically and the mean difference test. The results of this research are (1) the experiment class which implements TPS learning assisted by Mouse Mischief has reached mastery of learning, individually and classically, (2) the learning achievement of the experiment group that implements TPS learning assisted by Mouse Mischief is better than the control group that implements expository learning. 
Expert System Diagnosis Dental Disease Using Certainty Factor Method Setiabudi, Whisnu Ulinnuha; Sugiharti, Endang; Arini, Florentina Yuni
Scientific Journal of Informatics Vol 4, No 1 (2017): May 2017
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v4i1.8463

Abstract

Technological development is growing rapidly among with the increasing of human needs especially in mobile technology where the technology that often be used is android. The existence of this android facilitates the user in access of information. This android can be used for healthy needs, for example is detecting dental disease. One of the branches of computer science that can help society in detecting dental disease is expert system. In this research, making expert system to diagnosis dental disease by using certainty factor method. Dental disease diagnosis application can diagnose the patient based on griping of the patient about dental disease so it can be obtained diseases possibility of the patient itself. This application is an expert system application that operates on android platform. Furthermore, in the measurement accuracy of the system test performed by 20 patients, there were 19 cases of corresponding and 1 cases that do not fit. So, from system testing performed by 20 patients resulted in a 95% accuracy rate. 
Decision Support Systems with AHP and SAW Method for Determination of Cattle with Superior Seeds Josaputri, Clarissa Amanda; Sugiharti, Endang; Arifudin, Riza
Scientific Journal of Informatics Vol 3, No 2 (2016): November 2016
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v3i2.7908

Abstract

Department of Animal Husbandry and Fisheries of Semarang District is an institution in charge of livestock and animal health. Basically the Animal Husbandry Department has provided standardization for quality livestock cattle with superior seeds that usually can be judged or measured by various criteria.They are weight, age and value of BCS (Body Condition Score).They needed a system that could help the Department of Livestock and Fisheries of Semarang District in determining the electoral process cattle with superior seeds.  In this research, the manufacture of Decision Support Systems in the determination cattle with superior seedsis using a combination of two methods is Analytical Hierarchy Process (AHP) and the Simple Addictive Weighting (SAW). In AHP will perform an importance value calculation criteria that will be paired up with an alternative to the SAW the next process is the sum of the weight from performance rating of all the attributes to each alternative, a ranking conducted to determine the result of cattle with superior seeds. Suggestions on this system, can be developed further by combining other methods to determine the recommendation that more effective.
Expert System for Determination of Type Lenses Glasses Using Forward Chaining Method Pramesti, Atikah Ari; Arifudin, Riza; Sugiharti, Endang
Scientific Journal of Informatics Vol 3, No 2 (2016): November 2016
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v3i2.7914

Abstract

One of the branches of computer science that is widely used by humans to help her work is the establishment of an expert system. In this study we will design an expert system for determining the type of spectacle lenses using a forward chaining method. In forward chaining method, starting with the initial information (early symptoms) and moved forward to fit more information to find the information in accordance with the rules of the knowledge base and production, and will be concluded in the form of the type of disorder diagnosis of eye disorders and provide solutions in the form of lenses of eyeglasses. Result from this study is that the match calculation of algorithm of forward chaining method between system and manual calculations produce the same output.
Implementasi Adaptive Neuro-Fuzzy Inference System (Anfis) untuk Peramalan Pemakaian Air di Perusahaan Daerah Air Minum Tirta Moedal Semarang Arifudin, Riza; Sugiharti, Endang
Scientific Journal of Informatics Vol 3, No 1 (2016): May 2016
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v3i1.6516

Abstract

Peramalan pemakaian air pada bulan januari 2015 sampai April 2015 dapat dilakukan menggunakan perhitungan matematika dengan bantuan ilmu komputer. Metode yang digunakan adalah Adaptive Neuro Fuzzy Inference System (ANFIS) dengan bantuan software MATLAB. Untuk pengujian program, dilakukan percobaan dengan memasukkan variabel klas = 2, maksimum epoh = 100, error = 10-6, rentang nilai learning rate = 0.6 sampai 0.9, dan rentang nilai momentum = 0.6 sampai 0.9. Simpulan yang diperoleh adalah bahwa implementasi metode Adaptive Neuro-Fuzzy Inference System dalam peramalan pemakaian air yang pertama adalah membuat rancangan flowchart, melakukan clustering data menggunakan fuzzy C-Mean, menentukan neuron tiap-tiap lapisan, mencari nilai parameter dengan menggunakan LSE rekursif, lalu penentuan perhitungan error menggunakan sum square error (SSE) dan membuat sistem peramalan pemakaian air dengan software MATLAB. Setelah dilakukan percobaan hasil yang menunjukkan SSE paling kecil adalah nilai learning rate 0.9 dan momentum 0.6 dengan SSE 0.0080107. Hasil peramalan pemakaian air pada bulan Januari adalah 3.836.138m3, bulan Februari adalah 3.595.188m3, bulan Maret adalah 3.596.416 m3, dan bulan April adalah 3.776.833 m3. 
Recognition Number of The Vehicle Plate Using Otsu Method and K-Nearest Neighbour Classification Hidayah, Maulidia Rahmah; Akhlis, Isa; Sugiharti, Endang
Scientific Journal of Informatics Vol 4, No 1 (2017): May 2017
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v4i1.9503

Abstract

The current topic that is interesting as a solution of the impact of public service improvement toward vehicle is License Plate Recognition (LPR), but it still needs to develop the research of LPR method. Some of the previous researchs showed that K-Nearest Neighbour (KNN) succeed in car license plate recognition. The Objectives of this research was to determine the implementation and accuracy of Otsu Method toward license plate recognition. The method of this research was Otsu method to extract the characteristics and image of the plate into binary image and KNN as recognition classification method of each character. The development of the license plate recognition program by using Otsu method and classification of KNN is following the steps of pattern recognition, such as input and sensing, pre-processing, extraction feature Otsu method binary, segmentation, KNN classification method and post-processing by calculating the level of accuracy. The study showed that this program can recognize by 82% from 100 test plate with 93,75% of number recognition accuracy and 91,92% of letter recognition accuracy. 
Perancangan Aplikasi Surat Masuk dan Keluar pada PT. Angkasa Pura 1 Semarang Sugiharti, Endang; Triliani, Sulis Eli
Scientific Journal of Informatics Vol 1, No 1 (2014): May 2014
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v1i1.3640

Abstract

Salah satu permasalahan dalam pengelolaan surat di PT. Angkasa Pura 1 terutama dalam pencatatan surat masih menggunakan pencataan dalam buku agenda dan menggunakan Microsoft Excel sebagai catatan record transaksi surat. Dengan banyaknya jumlah surat yang dibuat maka pencarian akan tidak menjadi efisien. Salah satu upaya untuk mengatasi hal tersebut adalah dengan membuat sistem aplikasi surat masuk dan keluar dengan menggunakan Visual Basic 6.0, MySQL sebagai databasenya dan crystal report untuk pembuatan laporannya. Data yang digunakan dalam pembuatan sistem aplikasi ini adalah data surat masuk dan data surat keluar PT. Angkasa Pura 1 (Persero) kantor cabang Bandar Udara Internasional Ahmad Yani Semarang tahun 2013-2014. Hasil dari perancangan sistem aplikasi ini adalah sistem aplikasi penginputan data surat masuk dan surat keluar, update data surat masuk dan keluar, pencarian data surat masuk dan keluar, pembuatan laporan data surat masuk dan keluar. Peneliti menyarankan bahwa sistem aplikasi ini dapat digunakan pada PT. Angkasa Pura 1 (Persero) kantor cabang Bandar Udara Internasional Ahmad Yani Semarang. Apabila sistem aplikasi tersebut ingin dikembangkan, bisa dikembangkan menjadi client server. 
Implementasi Adaptive Neuro-Fuzzy Inference System (Anfis) untuk Peramalan Pemakaian Air di Perusahaan Daerah Air Minum Tirta Moedal Semarang Arifudin, Riza; Sugiharti, Endang
Scientific Journal of Informatics Vol 3, No 1 (2016): May 2016
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v3i1.6516

Abstract

Peramalan pemakaian air pada bulan januari 2015 sampai April 2015 dapat dilakukan menggunakan perhitungan matematika dengan bantuan ilmu komputer. Metode yang digunakan adalah Adaptive Neuro Fuzzy Inference System (ANFIS) dengan bantuan software MATLAB. Untuk pengujian program, dilakukan percobaan dengan memasukkan variabel klas = 2, maksimum epoh = 100, error = 10-6, rentang nilai learning rate = 0.6 sampai 0.9, dan rentang nilai momentum = 0.6 sampai 0.9. Simpulan yang diperoleh adalah bahwa implementasi metode Adaptive Neuro-Fuzzy Inference System dalam peramalan pemakaian air yang pertama adalah membuat rancangan flowchart, melakukan clustering data menggunakan fuzzy C-Mean, menentukan neuron tiap-tiap lapisan, mencari nilai parameter dengan menggunakan LSE rekursif, lalu penentuan perhitungan error menggunakan sum square error (SSE) dan membuat sistem peramalan pemakaian air dengan software MATLAB. Setelah dilakukan percobaan hasil yang menunjukkan SSE paling kecil adalah nilai learning rate 0.9 dan momentum 0.6 dengan SSE 0.0080107. Hasil peramalan pemakaian air pada bulan Januari adalah 3.836.138m3, bulan Februari adalah 3.595.188m3, bulan Maret adalah 3.596.416 m3, dan bulan April adalah 3.776.833 m3.
Comparison Between SAW and TOPSIS Methods in Selection of Broiler Chicken Meat Quality Adi, Pungky Tri Kisworo; Sugiharti, Endang; Alamsyah, Alamsyah
Scientific Journal of Informatics Vol 5, No 1 (2018): May 2018
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v5i1.14416

Abstract

Decision support system is a system that can assist semi-structured and unstructured decision making, in which no one knows exactly how decisions should be made. Broiler Chicken farm production is growing very rapidly along with the increasing market demand for Broiler Chicken. Broiler Chickens have fast growth in a relatively short time. The purpose of this research is the selection of chicken meat quality by applying comparison of SAW and TOPSIS method. The variables used are age, ration conversion, weight of chicken weight, and water consumption. The system is created using PHP framework Code Ignitier and database MySQL using waterfall method. That is analyze the user needs on the system, do the database design, by doing a coding and testing the system whether it is what is expected. The result of this research is the application of comparison between SAW and TOPSIS method each consist of 5 criteria. Comparison of these algorithms can facilitate the breeders in choosing a good quality broiler chicken meat.The results of the best farmer recommendation according to comparative method of SAW and TOPSIS. In SAW method of breeder 1 The biggest value is at V2 = 0,341, so alternative A2 is alternatives chosen as good alternative. Breeder 2 The biggest value is at V3 = 0.033, so alternative A3 is the alternative chosen as a good enough alternative. Breeder 3 The biggest value is at V1 = 0.005, so alternative A1 is the alternative chosen as an excellent alternative. Topsis Method of Breeders 1 is the largest value  at V2 = 9.98, so alternative A2 is the alternative chosen as a good alternative. Breeder 2 is the biggest value at V3 = 0.372, so alternative A3 is the alternative chosen as a good enough alternative. Breeder 3 is the biggest value at V3 = 0.982, so alternative A3 is the alternative chosen as a good enough alternative. This system uses only 5 criteria, it would be nice if you add other criteria that support the selection of broiler chicken meat quality.
Co-Authors Adha, Nugraha Saputra Adi, Pungky Tri Kisworo Adi, Pungky Tri Kisworo Afifah, Eka Nur Afifah, Eka Nur Ahmad Solikhin Gayuh Raharjo Alamsyah - Amin Suyitno Anggyi Trisnawan Putra Arief Broto Susilo Astuti, Winda Try Astuti, Winda Try Atikah Ari Pramesti, Atikah Ari Clarissa Amanda Josaputri, Clarissa Amanda Devi, Feroza Rosalina Devi, Feroza Rosalina Dian Tri Wiyanti Dwijanto Dwijanto, Dwijanto Dwika Ananda Agustina Pertiwi Eka Listiana Emi Pujiastuti Fitriana, Erma Nurul Florentina Yuni Arini, Florentina Yuni Fredinan Yulianda Hani'ah, Ulfatun Hariyanto, Abdul I Ketut Sudiana Indah Urwatin Wusqo Isa Akhlis Korzhakin, Dian Alya Kurniawati, Putri Aida Nur Lestari, Dewi Indah Maulidia Rahmah Hidayah, Maulidia Rahmah Much Aziz Muslim Much Aziz Muslim Much Aziz Muslim Muhammad Kharis Mulyono Mulyono Perbawawati, Anna Adi Perbawawati, Anna Adi Pipit Riski Setyorini Pradhana, Fajar Eska Purnamasari, Ratnaningtyas Widyani R. Sapto Hendri Boedi Soesatyo Ratri Rahayu Rini Muzayanah Riza Arifudin Rizki Danang Kartiko Kuncoro Rupiah, Siti Sampurno, Global Ilham Sampurno, Global Ilham Sari, Firar Anitya Sugiman Sugiman Sukestiyarno Sukestiyarno Sukmadewanti, Irahayu Sukmadewanti, Irahayu Sulis Eli Triliani, Sulis Eli Supriyono Supriyono Susanti, Eka Lia Sutarti, Sri Sutarti, Sri Umi Latifah Vedayoko, Lucky Gagah Vedayoko, Lucky Gagah Whisnu Ulinnuha Setiabudi, Whisnu Ulinnuha Wijaya, Henry Putra Imam Zaenal Abidin